JP6728808B2 - Measuring and diagnosing device and measuring and diagnosing method - Google Patents

Description

The present invention relates to a measurement/diagnosis apparatus and a measurement/diagnosis method for diagnosing the presence or absence of an abnormality in a bearing portion based on a measurement result of vibration generated in a bearing portion of a rotating device.

In order to stably operate the rotating machinery installed in the plant, in addition to overhaul inspection by regular time maintenance as a condition monitoring and maintenance technology, the vibration of the bearing part is measured during the condition monitoring and maintenance to check the soundness. There is. Two methods have been established as vibration measurement methods: simple diagnosis and precise diagnosis.
There is "JEAG 4221-20XX Technical Guide for Facility Diagnosis of Nuclear Power Plant-Rotating Machine Vibration Diagnosis Technology" as a technical standard for vibration diagnosis technology of rotating equipment of a nuclear power plant.
The simple diagnosis compares the characteristics of the condition monitoring data, the tendency of change over time, and the subsequent transition predicted from these with the management standard to estimate the degree of deterioration or failure and determine the response time. .. This method is generally called trend management.

On the other hand, the precision diagnosis is intended to estimate the site, type, cause, degree, etc. of an abnormality occurring in the rotating machine. There are mainly methods such as time waveform analysis, frequency analysis, phase analysis, and trajectory analysis, and an appropriate analysis method is selected according to the cause of the sign of deterioration or abnormality.
At a nuclear power plant, if an abnormality such as an increase in bearing vibration of rotating machinery is found, the operating department and the maintenance department discuss with each other. If not, take measures such as stopping the system and inspecting it.
For this reason, if a failure occurs due to an increase in vibration generated in a rotating machine, a sudden trip of the rotating machine, etc. will have a great impact on the operation of the nuclear power plant if it is in operation. Routine condition management is essential for rotating equipment as it is possible and can result in changes in operational plans.

Patent Document 1 is a general frequency analysis method used for precision diagnosis of a bearing part, and after performing absolute value processing on a signal from an accelerometer and performing low-pass filter processing, a signal after envelope processing is processed at high speed. An existing technique of Fourier transform is disclosed. Further, Patent Document 1 discloses a technique for obtaining a crest factor value of a waveform. The technique described in Patent Document 1 has been conventionally used, and has an advantage of exerting an effect when a failure or deterioration of the bearing portion progresses and vibration in a characteristic frequency band occurs. ..
Patent Document 2 discloses a technique in which vibration data and rotation speed data of a rotating machine are fetched, amplitude values for all rotation speeds and all regions of the rotating machine are recorded, and the average values of past data are compared.
In Patent Document 3, the current value of the vibration waveform is compared with the vibration management reference value to determine the abnormality, and the fast Fourier calculation is used for the analysis to compare the abnormal data previously collected with the current data. However, a technique for determining abnormality is disclosed.

JP, 2011-203218, A JP-A-4-131717 JP 62-93620A

As described above, in daily management of plant equipment, vibration measurement and condition monitoring of rotating equipment are important.
Commercially available vibration measuring instruments are generally equipped with various functions to measure all vibration modes. However, it was not always easy for general workers to use the measuring instrument and to have data collection skills in order to use it.
Currently available measuring instruments and vibration measurement diagnostic methods have the following problems.
(1) In conventional vibration measurement work, a specialized worker who has sufficient knowledge about a vibrometer and has the ability to measure vibration makes an effort to measure vibration and collects data. Vibration measurement work has the disadvantage that it has a high degree of specialization and that it takes time to collect and evaluate data. As an example of specialized knowledge, it is necessary to become familiar with the following.
(Example 1) In order to measure the vibration of the bearing portion, an appropriate acceleration pickup must be selected. Appropriate learning is required to select the sensitivity and the pickup of the vibration frequency band range according to the purpose.
(Example 2) Since a commercially available vibration measuring instrument has too many functions, it is necessary to adjust the setting of the measuring instrument for bearing monitoring of a rotating machine used in a plant, and it is necessary to be familiar with the equipment.
(Example 3) Although methods for simple diagnosis and precise diagnosis have been established, even if data is collected by the vibration measuring instrument, the judgment of the result must be judged by a competent person, and the meaning of the data is familiar. There is a need.

(2) When measuring the vibration with the vibration measuring instrument, a person manually adjusts the input gain value by visually observing the peak meter. When the input value is set too large and the peak meter exceeds the maximum value (when the input gain is too large), the collected data becomes an invalid value and the data value measured thereafter becomes unreliable. If the data is mistakenly collected with the input gain exceeded, the data collection will be useless.
(3) Since the operator generally performs auscultation with a stethoscope on the condition of the bearing, there is no fixed standard regarding the expression of the tone color and volume of the bearing, and there is no fixed standard. Similarly, the grease noise generated from the bearing portion is also expressed only by the expression of the strength of the sound volume, and the bearing management record cannot make a quantitative value.
Therefore, the vibration value that requires grease-up and the amount of vibration reduction after grease-up depend on the sense of the operator and maintenance staff, and there is no objective index.
(4) The data used in the trend management in the simple diagnosis is based on the amplitude value according to the velocity mode of vibration or the crest factor which is the ratio of the peak value and the effective value of the waveform. In addition, as described in the literature, the failure mode of the bearing part shifts from the high-frequency band to the low-frequency band as the vibration value begins to appear from the high frequency band region due to the frequency analysis of vibration, and the failure and deterioration progress. Tend to do. In the simple diagnosis, the deterioration is judged based on the magnitude of the effective value of the vibration speed (ISO10816-1 "vibration evaluation standard (effective value of the vibration speed)), but the increase in the frequency in the high frequency region, which is an early sign of deterioration, is quantified. The means to evaluate the output is to output the frequency analysis result by the Fast Fourier Transform, and the increase amount of harmonics and noise can only be confirmed by observing the output value of FFT by humans. There was no simple indicator to show.

(5) There is no rotation speed input for vibration measurement. The rotation speed of the electric motor is determined by the power supply frequency and the number of poles, but considering the slip due to load fluctuation, it is desirable to input the rotation speed by actual measurement.
(6) The sensitivity of the piezoelectric accelerometer for each frequency band is not completely flat. In addition, since there is a sensitivity error in the resonance region of the pickup itself in the high frequency band and in the intermediate band, it has a considerable influence on the accuracy of vibration frequency analysis.
(7) If the pickup sensitivity decreases or breaks down during use, accurate data will not be obtained. If a pickup failure occurs inside the pickup, it is difficult to understand, and there is a risk that erroneous data will be collected unknowingly.

The present invention has been made in view of the above, and an object thereof is to measure vibrations of rotating equipment by a simple operation, display indexed parameter values relating to bearing vibrations, and perform optimum vibration monitoring. An object of the present invention is to provide a measurement/diagnosis device capable of obtaining optimum measurement results for managing collected data and specialized in simple bearing vibration monitoring of a rotating machine.

In order to solve the above-mentioned problems, the invention according to claim 1 is a measurement/diagnosis device for diagnosing whether or not there is an abnormality in the bearing portion based on a measurement result of vibration generated in a bearing portion of the rotating equipment. A/D converter for quantizing the acceleration signal from the acceleration detecting means for detecting vibration, fast Fourier transforming means for fast Fourier transforming the quantized acceleration data, and level generated by the fast Fourier transforming means Of the data, a bandpass filter that passes level data in the frequency band of 8 kHz to 10 kHz, and a level of all frequencies in the frequency band with respect to the level data in the frequency band of 8 kHz to 10 kHz that has passed the bandpass filter The calculating means for calculating the average value of the data to obtain the measured value is compared with the measured value in the frequency band, the first reference value and the second reference value lower than the first reference value, respectively. The comparing means determines that the rotating device is out of grease when the measured value is larger than the first reference value, and the measured value is the first reference value and the second reference value. Determination means for determining that there is an abnormality in the bearing portion of the rotating device when it is between

According to the invention described in claim 1, the vibration of the rotating device can be measured by a simple operation, the indexed parameter value regarding the vibration of the bearing portion is displayed, the optimum vibration can be monitored, and the collected data is managed. It is possible to obtain optimum measurement results and specialize in simple bearing vibration monitoring of rotating machines.

(A) is a figure which shows the outline of the measurement system which concerns on embodiment of this invention, (b) is a figure which shows the apparatus connected to the measurement diagnostic device. It is a figure showing the block composition of the measurement diagnostic equipment concerning the embodiment of the present invention. It is a figure which shows the software module structure of the bearing part simple diagnostic measurement part which operates in the measurement diagnostic device which concerns on embodiment of this invention. It is a main flowchart (the 1) which shows operation|movement of the bearing part simple diagnosis measuring part provided in the measurement diagnosing device which concerns on embodiment of this invention. It is a main flowchart (the 2) which shows operation|movement of the bearing part simple diagnostic measuring part provided in the measurement diagnostic device which concerns on embodiment of this invention. It is a main flowchart (the 3) which shows operation|movement of the bearing part simple diagnostic measuring part provided in the measurement diagnostic device which concerns on embodiment of this invention. It is a main flowchart (the 4) which shows operation|movement of the bearing part simple diagnosis measuring part provided in the measurement diagnosing device which concerns on embodiment of this invention. It is a figure which shows the screen for selecting a basic setting mode. It is a figure which shows the setting screen used at the time of the last measurement. It is a figure which shows the selection screen of an acceleration pickup. It is a figure which shows a rotation speed manual input selection screen. It is a figure which shows a temperature sensor use selection screen. It is a figure showing an accelerometer mounting method selection screen. It is a figure which shows a process display screen. It is a figure which shows a measurement equipment/measurement part selection screen. It is a figure which shows a measurement start confirmation screen. It is a figure which shows a measurement start cancellation screen. It is a figure which shows a measurement execution process progress screen. It is a figure which shows a measurement result display screen. It is a figure which shows preservation completion and the next measurement apparatus/measurement part selection screen. 7 is a flowchart of a subroutine of a correction/calibration mode selection process by the bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention. 6 is a flowchart of a subroutine of pickup calibration mode condition establishment processing by a bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention. 6 is a flowchart of a subroutine of transmission/reception mode selection processing by the bearing simple diagnosis/measurement unit provided in the measurement/diagnosis apparatus according to the embodiment of the present invention. 6 is a flowchart of a subroutine of an acceleration pickup selection process by a bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention. 7 is a flowchart of a subroutine of a rotational speed manual input mode process by a bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention. 6 is a flowchart of a subroutine of a temperature sensor use selection process and a temperature sensor non-use selection process by a bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention. 7 is a flowchart of a subroutine of an acceleration pickup attachment method selection process by a bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention. (A) FFT calculation result store execution processing subroutine, (b) waveform output/store execution processing subroutine, (c) rotation by the bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention. It is a flow chart of a subroutine of speed data input processing execution processing, and a subroutine of (d) temperature data input processing execution processing. 7 is a flowchart of a subroutine of total harmonic distortion+N calculation execution_THD(n)X processing by the bearing simple diagnosis and measurement unit provided in the measurement/diagnosis apparatus according to the embodiment of the present invention. It is a flowchart of the subroutine of the grease cutting noise calculation execution P (gr) process by the bearing part simple diagnostic measurement part provided in the measurement diagnostic device which concerns on embodiment of this invention. 6 is a flowchart of a subroutine of pry sound calculation execution P(ks) processing by the bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention. 6 is a flowchart of a subroutine of crest factor calculation/determination execution f(Cr) processing by the bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention. (A) Rotation speed data store execution (r) process subroutine, (b) temperature sensor data store value display/calculation execution (by the bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention). It is a flowchart of a subroutine of t) processing. It is a figure which shows a pickup correction mode screen. It is a figure which shows a pickup correction mode screen. It is a figure which shows a data transmission/reception screen. It is a figure which shows a pickup calibration mode screen. (A)-(c) is a graph showing a specific example of calibration by the sensitivity correction circuit unit 56. (A) is a graph showing a frequency characteristic of a contact resonance point generated when the acceleration pickup is attached by six kinds of methods, and (b) is a diagram showing an attachment method for generating the six contact resonance points shown in (a). Is. (A)-(d) is a graph which shows the damage progress state of a rolling bearing part in steps. (A) is a graph showing a frequency analysis result before grease up, and (b) is a graph showing a frequency analysis result after grease up. (A) is a graph showing an acceleration spectrum during generation of squeaky sound, and (b) is a graph showing an acceleration spectrum immediately after grease up.

Hereinafter, the present invention will be described in detail with reference to the embodiments shown in the drawings.
INDUSTRIAL APPLICABILITY The present invention can measure the vibration of rotating equipment by a simple operation, displays indexed parameter values related to bearing vibration, enables optimum vibration monitoring, and obtains optimum measurement results for managing collected data. In order to provide a measurement/diagnosis device specialized for simple bearing vibration monitoring of a rotating machine, it has the following configuration.
That is, the measurement/diagnosis device of the present invention is a measurement/diagnosis device for diagnosing the presence/absence of abnormality of the bearing unit based on the measurement result of the vibration generated in the bearing unit of the rotating device, and the acceleration detection for detecting the vibration of the rotating device. A/D converter that quantizes the acceleration signal from the means, a fast Fourier transform means that performs a fast Fourier transform on the quantized acceleration data, and a rotation of the rotating device among the level data generated by the fast Fourier transform means. For band-pass filters that pass level data in a frequency band of 4 kHz to 6 kHz or 8 kHz to 10 kHz that does not depend on speed, and 4 kHz to 6 kHz that have passed through the band pass filter, or level data of a frequency band of 8 kHz to 10 kHz, Calculating means for calculating an average value at each frequency in the frequency band to obtain a measurement value.

Further, the measurement/diagnosis device of the present invention is a measurement/diagnosis device for diagnosing whether or not there is an abnormality in the bearing portion based on a measurement result of vibration generated in a bearing portion of the rotating equipment, and an acceleration for detecting vibration of the rotating equipment. An A/D converter for quantizing the acceleration signal from the detecting means, a fast Fourier transforming means for fast Fourier transforming the quantized acceleration data, and a transforming means for transforming the rotational speed of the rotating device into a reference frequency. Of the level data generated by the fast Fourier transform means, based on the distortion value for the harmonic band, an acquisition means for acquiring distortion values for a plurality of different harmonic bands with the reference frequency as a reference wave. And digitizing means for digitizing the deterioration state of the bearing portion of the rotating device.
With the above configuration, vibration of rotating equipment can be measured with simple operation, indexed parameter values related to bearing vibration are displayed, optimal vibration monitoring can be performed, and optimum management of collected data is possible. It is possible to obtain measurement results and specialize in simple bearing vibration monitoring of rotating machines.
The features of the present invention described above will be described in detail below with reference to the drawings.

An outline of the measurement system according to the embodiment of the present invention will be described with reference to FIG. 1.
In the present embodiment, as the rotating device, for example, an electric motor arranged in a nuclear power plant or a thermal power plant is targeted, but an electric motor arranged in a plant such as a hydroelectric power plant may be targeted, and the rotating device is Any bearing having a bearing portion (rolling bearing) may be used.
As shown in FIG. 1A, the nuclear power plant 1 includes a reactor 2, a turbine 4, a condenser 6, a seawater channel 8, a pipe 10, a water supply pump 11, a generator 12, a sensor 14, and a measurement/diagnosis device 20. Equipped with.
The nuclear fuel is caused to undergo a nuclear reaction to generate steam, and the steam is injected into the turbine 4 through the pipe 10a to rotate the turbine 4, and the generator 12 connected to the rotary shaft of the turbine 4 is rotated. AC power is generated at. After rotating the turbine 4, the steam enters the condenser 6 through the pipe 10b, is cooled by seawater in the condenser 6 and returns to water, and the water is again returned through the pipe 10c and the water supply pump 11 to the reactor. Returning to step 2, the operation of boiling in the reactor 2 to become steam is repeated.
A sensor group 14 is arranged in a bearing portion 11 a provided in the rotating machine of the water supply pump 11, and a detection signal detected by the sensor group 14 is output to the measurement/diagnosis apparatus 20. The measurement/diagnosis device 20 diagnoses vibration generated in the bearing portion 11 a of the water supply pump 11 based on the detection signal acquired from the sensor group 14.

As shown in FIG. 1( b ), the measurement/diagnosis device 20 receives the detection signals output from the acceleration pickup 14 a, the temperature sensor 14 b, and the tachometer 14 c as the sensor group 14, and further from the temperature sensor 16. The output detection signal is input. Further, the measurement/diagnosis device 20 is connected to a rotation speed input unit 18 that selects and inputs one of a plurality of input systems.

<Accelerometer>
The acceleration pickup 14a is, for example, a piezoelectric acceleration pickup and outputs self-generated electric charges (charges/voltages) in proportion to acceleration.
Here, the acceleration pickup for simple diagnosis will be described.
In the simple diagnosis, the vibration sensor generally has a characteristic that the smaller it is, the higher the measurement frequency can be made, but the sensitivity is lowered. Further, since the sensor to be used also differs depending on the characteristics of the measurement/diagnosis device and the measurement target device, it is necessary to select a sensor having appropriate sensitivity in consideration of these.
Since the characteristics differ depending on the vibration sensor used, it is important to use vibration sensors having the same specifications when performing trend monitoring by measuring at the same location.
Regarding the relationship between the sensitivity and the frequency characteristic of the vibration sensor, generally, regarding the relationship between the sensitivity and the frequency characteristic of the vibration sensor, when the sensitivity is high, the S/N ratio is high, but the resonance frequency is low, and the usable frequency band is narrow. Conversely, if the sensitivity is lowered, the S/N ratio is lowered but the frequency band is widened.
Therefore, there are cases where sensors with different sensitivities are adopted for different purposes or due to the installation environment of the measurement object or the convenience of the measurement/diagnosis device. For example, when it is desired to mainly use the sensors in a specific frequency band, While a sensor with a high N ratio may be used, a sensor with low sensitivity (a sensor with a wide frequency band) may be used when collecting/evaluating data in a wide frequency band (source: : “JEAG 4221-20XX Technical Guide for Facility Diagnosis of Nuclear Power Plant-Rotating Machine Vibration Diagnosis Technology”).
From the above, the piezoelectric accelerometer used for simple diagnosis has a wide band and low sensitivity. In the present embodiment, a small acceleration pickup having a wide band and low sensitivity characteristic is used. Since it is small, the pickup body and the vibrating body (bearing portion) can vibrate in the same manner, and good vibration data can be obtained. Further, generally, in order that the vibration state of the vibrating body does not change due to the weight of the pickup, downsizing of the pickup is indispensable.

<Temperature sensor>
The temperature sensor 14b and the temperature sensor 16 are contact-type temperature sensors or non-contact-type radiation thermometers, and measure equipment temperature and room temperature, respectively. Generally, when the vibration of the bearing portion increases, the temperature of the bearing portion rises due to the increase of mechanical energy due to the vibration. However, the temperature tends to rise after the increase of vibration.
If the grease in the bearing is insufficient, the lubrication is insufficient and the temperature of the bearing rises. On the contrary, there is a phenomenon that the temperature of the bearing part rises immediately after replenishing the grease or when the amount of replenishment of the grease is too large. This is because when the grease is replenished, the amount of heat generated increases due to the increase in resistance due to the grease, and the temperature rises. It is generally known that the deterioration rate of grease increases when the temperature is high.
Therefore, the purpose of providing the temperature sensor is to input and store the temperature data due to the vibration of the bearing portion as the secondary data regarding the soundness of the bearing portion.
In addition, during the actual grease-up work on the bearing, the temperature of the bearing rises every time the grease is injected. Then, add grease while confirming that the temperature of the bearing is stable. Therefore, by connecting the temperature sensor to the measurement/diagnosis device 20, the tendency of temperature change can be continuously measured, and the temperature data can be accumulated.
As a side effect of the detailed description, when the measurement/diagnosis device is a dedicated device for the grease out management function, the tachometer is not necessary and the thermometer is indispensable. The reason why the tachometer is not needed is that there is a knowledge that in the case of running out of grease, the characteristic frequency band of running out of grease is constant at 8 kHz to 10 kHz regardless of the rotation speed of the device.

<Tachometer>
The tachometer 14c is a non-contact type digital tachometer, and a reflection tape is attached to an object such as a shaft of a rotating machine or a coupling, and a laser beam is irradiated in the direction of the reflection tape to reflect the light by the reflection tape. It is a rotation speed measuring device that receives and measures the generated laser light in a non-contact manner.
The purpose of the rotation speed measurement in the present embodiment is that when the measured vibration data is analyzed by the FFT calculator, the calculation is not possible with the total harmonic distortion +N after that unless the basic rotation speed of the device is input. Are doing In the power spectrum of the vibration data calculated by the FFT, the rotation speed frequency (fundamental frequency) is superior to the frequency output before and after that. Therefore, after converting the rotational speed data input from the digital tachometer into frequency values, the power spectrum is approximated to the fundamental frequency, and an excellent frequency band is derived from the frequencies before and after. Here, the approximate frequency band is used, but the value obtained by converting the rotational speed to the frequency and the frequency value after the FFT calculation do not completely match due to the FFT calculation accuracy. Therefore, the approximation and the output are excellent. Find the frequency that is playing.
Further, the load on the measurement/diagnosis device 20 is reduced by connecting the tachometer 14c to the measurement/diagnosis device 20 via a cable.

<Rotation speed input section>
The rotation speed input unit 18 selects any one of the data received from the operation input unit 17a, the tachometer 14c, and the device rotation speed database 17b, and outputs the selected data to the measurement/diagnosis apparatus 20. The rotation speed input unit 18 may be provided in the measurement/diagnosis device 20.
The operation input unit 17a includes a keyboard and outputs a value input by a user. In the present embodiment, the rotation of the rotating device may be measured by a stand-alone non-contact type digital tachometer, and the reading value of the digital tachometer may be directly input to the operation input unit 17a by the user.
The equipment rotation speed database 17b is a database that stores the rotation speed of the rotating equipment.
<Temperature input section>
The temperature input unit 19 converts the temperature signals received from the temperature sensor 14b and the temperature sensor 16 into temperature data of digital signals and outputs the temperature data to the measurement/diagnosis apparatus 20. The temperature input unit 19 may be provided in the measurement/diagnosis device 20.

<Vibration data server>
A vibration data server 25 is connected to the measurement/diagnosis device 20 via a network N.
The vibration data server 25 receives the vibration data transmitted from the measurement/diagnosis device 20 via the network N, stores the vibration data in a storage device such as a hard disk, and stores the vibration data read from the storage device in the network N as necessary. It transmits to the measurement diagnostic device 20 via.
The vibration data server 25 displays the processing result/signal input value of the measurement/diagnosis device 20 on the monitor. As a result, the operator/maintenance staff can check the data on site and manage the state of each bearing using the vibration data server 25.
The monitor of the vibration data server 25 may display an input value of each parameter, a guidance display about the tendency of the parameter, a description of the meaning of the parameter, and the like. Further, when displaying the data calculated by the bearing simple diagnosis measuring unit 82 described later, all the data such as the measurement data, the calculation data, the measurement and sampling conditions (including the type of the pickup, the pickup mounting method, etc.) are displayed. You may display on one screen.

Next, with reference to FIG. 2, a block configuration of the measurement/diagnosis apparatus 20 according to the embodiment of the present invention will be described.
The measurement/diagnosis device 20 includes an automatic gain adjustment unit 30, a signal processing unit 50, a rotation speed input unit 18, a temperature input unit 19, an I/O bridge unit 60, a CPU 62, a main memory unit 64, a flash memory unit 66, an LCD display unit. 68 and a LAN_I/F unit 70.

<Automatic gain adjuster>
The automatic gain adjustment unit 30 includes a charge amplifier 32, an HPF/LPF 34, a gain adjuster 36, a comparator 37, a peak detector 38, a peak display lamp 40, and an A/D converter 44. An operational amplifier 46 and an earphone 48 for monitoring a vibration analog signal are connected to the automatic gain adjustment unit 30.
The charge amplifier 32 inputs and amplifies the acceleration signal from the acceleration pickup 14a. That is, the charge amplifier 32 converts and amplifies the electric charge (which generates electric charge/voltage in proportion to acceleration) generated by the acceleration pickup 14a by converting the electric charge into a voltage signal that is easily processed. The charge amplifier 32 has a built-in A/D converter, and outputs the amplified acceleration signal A/D converted by the A/D converter to the I/O bridge 60.
The HPF/LPF 34 constitutes a filter and limits the band of the amplified acceleration signal output from the charge amplifier 32 to pass it. That is, the HPF/LPF 34 performs high-pass processing on the ultra-low frequency (e.g., 1 Hz to 2 Hz or less) in the voltage signal generated by the acceleration pickup 14a and the frequency band equal to or higher than the resonance frequency of the acceleration pickup 14a (e.g., 48 kHz or more). Low-pass filter processing is performed, and anti-aliasing pre-processing of the FFT analyzer measurement result at the subsequent stage is performed. Since anti-aliasing is a digital signal, which is sampled at a certain sampling frequency, a frequency component exceeding half the sampling frequency becomes aliasing noise. A technique for blocking this aliasing noise (alias) is antialiasing. In the anti-aliasing processing, for example, a band limiting filter is used to remove frequency components exceeding half the sampling frequency in advance, and then sampling is performed. This filter is a low-pass filter (low-pass filter), and a low-pass filter that performs anti-aliasing is called an anti-alias filter.

The gain adjuster 36 amplifies the acceleration signal from the HPF/LPF 34 with a predetermined amplification factor.
The comparator 37 compares the acceleration signal output from the gain adjuster 36 with the reference voltage (GND) and outputs a comparison result signal to the gain adjuster 36.
The comparator 37 limits the change range of the amplification factor of the gain adjuster 36 when the acceleration signal is larger than the reference voltage. The comparator 37 limits the change upper limit of the amplification factor of the gain adjuster 36 to around −0.5 dB so that the acceleration signal from the HPF/LPF 34 is not clipped.
In order to input the acceleration signal, which is the voltage signal from the charge amplifier 32, to the A/D converter 44, it is necessary to control the voltage so that the A/D converter 44 can normally process. Therefore, in order to prevent the input voltage from becoming excessively high for the A/D converter 44, the gain is adjusted by lowering the input signal from the peak value by about -0.5 dB, so that the output value of the gain adjuster 36 and the reference voltage value (GND). Is compared by the comparator 37 to output an increase/decrease adjustment signal, and the gain adjuster 36 performs automatic gain adjustment using the increase/decrease adjustment signal.
The peak detector 38 receives the acceleration signal output from the gain adjuster 36, detects whether or not the acceleration signal reaches a peak value of about −0.5 dB gain, and detects a peak signal (peak ramp imperfections and The gain of -0.5 dB) is output. The peak detector 38 has a built-in A/D converter, and outputs the data obtained by A/D converting the peak signal by the A/D converter to the I/O bridge 60.
A peak detector 38 and a peak display lamp 40 are provided so that the gain adjustment result can be visually confirmed, and the peak display lamp 40 is turned off and a “measurement preparation completion display” or the like is displayed on the display described later, thereby allowing the measurer to perform measurement. Signals that the adjustment of the input signal is completed.

The A/D converter 44 constitutes an A/D converter and samples the acceleration signal, which is an analog signal from the HPF/LPF 34, and quantizes it into digital data. The A/D converter 44 generally needs to be capable of processing 24 bits in consideration of the SN ratio and 192 kHz or more in consideration of data resolution, and a delta-sigma type A/D having such capability. A converter may be used.
In order to obtain a highly accurate measurement result, the sampling frequency of the A/D converter is set to 96 KHz or more, and the bit depth is set to 24 bits or more, which is the upper limit for digitally expressing the analog waveform, in order to increase the SN ratio. The number of sampling data is a power of 2, and can be processed by the hardware configuration according to the present embodiment, and the number of frequency lines is also the maximum number that does not cause any problem in the hardware configuration.
The operational amplifier 46 is provided to allow the user to directly monitor the vibration sound, and amplifies the vibration analog signal output from the gain adjuster 36 and outputs it to the earphone 48.

<Signal processing unit>
The signal processing unit 50 is configured by a DSP (digital signal processor), and includes an LPF 52, an FFT analyzer unit 54, and a sensitivity correction circuit unit 56.
The LPF 52 receives the voltage data output from the A/D converter 44, and sets the signal output to the FFT analyzer unit 54 by the low-pass filter process to a frequency that is twice the sampling frequency or less. The anti-aliasing is taken into consideration when setting the low-pass filter processing based on the sampling frequency set in the device. The data output from the LPF 52 is input to the effective value converter 54a and the CPU 62 via the I/O bridge unit 60.

<FFT analyzer section>
The FFT analyzer unit 54 constitutes a fast Fourier transform unit and includes an effective value converter 54a, a Hanning window function calculator 54b, and an FFT calculator 54c, and converts the waveform data into an effective value when performing the FFT analysis process. , The waveform data having the effective value is multiplied by the Hanning window function to perform the FFT processing. The FFT analyzer unit 54 performs a fast Fourier transform on the quantized acceleration data by the A/D converter 44.
The effective value converter 54a performs the effective value conversion on the voltage data input from the LPF 52, and outputs the effective value voltage data as the conversion result to the Hanning window function calculator 54b.
The Hanning window function calculator 54b outputs the calculation result data obtained by multiplying the RMS voltage data input from the RMS value converter 54a by the Hanning window function to the FFT calculator 54c.
The FFT calculator 54c calculates the voltage component for each frequency of the acceleration pickup as the output value of each frequency in the power spectrum (output/frequency) of the vibration value with respect to the calculation result data input from the Hanning window function calculator 54b. The obtained voltage component is output to the comparison calculator 56b via the data selectors SEL1 and SEL2, and the voltage component is output to the sensitivity correction circuit unit 56.

<Sensitivity correction circuit section>
The sensitivity correction circuit unit 56 includes a sensitivity correction calculator 56a, a comparison calculator 56b, a flash memory 56c, a calibration mode determination unit 56d, and a correction value input unit 56e. The data output from the sensitivity correction circuit unit 56 is input to the CPU 62 via the I/O bridge unit 60.
The sensitivity correction arithmetic unit 56a constitutes a sensitivity correction arithmetic unit, and based on the correction value of each frequency band input from the correction value input unit 56e, the level data of each frequency band output from the FFT analyzer unit 54 is respectively received. to correct. The sensitivity correction calculator 56a corrects the level data of each frequency band output from the FFT analyzer unit 54 based on the correction value of each frequency band input from the correction value input unit 56e.
The comparison calculator 56b constitutes a comparison means and compares the first level data of each frequency band read from the flash memory 56c with the second level data of each frequency band acquired from the accelerometer in use. ..
The flash memory 56c includes an SSD (solid state drive) that constitutes a storage unit, and stores level data of each frequency band acquired from a reference new acceleration pickup (first acceleration detection unit).
The calibration mode determination unit 56d determines that the mode has been switched to the calibration mode when the input logical value is switched from the logic "0" to the logic "1", and switches the data selectors SEL1 and SEL2 to the closed state, The data selector SEL3 is switched to the open state.
The correction value input unit 56e constitutes a correction value input means and inputs the comparison result data as a correction value for each frequency band. The correction value input unit 56e inputs the correction value of each frequency band.

The sensitivity correction circuit unit 56 inputs a correction signal for the sensitivity error of the reference calibration frequency (for example, 20 Hz, 80 Hz, 200 Hz, 500 Hz, 1 kHz, 2 kHz, 5 kHz, 10 kHz) from the calibration record of the acceleration pickup 14a in advance, and Accurate signal correction is performed. Specifically, the correction is performed by inputting each correction signal to the frequency analysis result from the FFT analyzer unit 54.
The correction signal is about ±1% if the maker calibration result is normal.
The flash memory 56c stores and holds the characteristic value immediately after the calibration when the acceleration pickup is new.
The comparison calculator 56b compares the FFT output level of the calibration signal of the accelerometer when it is new with the FFT output level of the calibration signal of the accelerometer after use to detect the presence or absence of a failure of the accelerometer.
Specifically, the FFT output level of the calibration signal of the accelerometer when new is subtracted from the FFT output level of the calibration signal of the accelerometer after use, and the degree of deviation is visually checked to determine whether there is an abnormality.
According to the literature example, as a failure example of the acceleration pickup, the sensitivity in the high range is increased and the FFT output value is also displayed high. Therefore, it can be seen that comparison of FFT data when new and after use is effective.
As shown in FIG. 2, when performing the comparative calibration, the sensitivity correction circuit unit 56 is bypassed and the bearing simple diagnosis and measurement unit 82 described later is also bypassed.

The CPU 62 is provided with a ROM therein, reads out the program of the operating system OS from the ROM, expands it on the main memory unit 64 and executes the OS, and reads out the program of the application software from the ROM and stores it on the main memory unit 64. Deploy to and execute.
The CPU 62 constitutes the first acquisition means, and when the vibration generated by the calibration vibration generator (not shown) is applied to the acceleration pickup (first acceleration detection means) when it is new as a reference, the fast Fourier transform is performed. The first level data of each frequency band generated by the converting means is acquired.
The CPU 62 constitutes the second acquisition means, and when the vibration generated by the calibration vibration generator is applied to the acceleration pickup in use, the second level data of each frequency band generated by the FFT analyzer unit 54. To get.
The CPU 62 constitutes a diagnosing means, and diagnoses whether or not there is an abnormality in the accelerometer being used, based on the comparison result data of the comparison calculator 56b. The comparison calculation result is input to the CPU 62 and displayed on the LCD display unit 68.

Here, the first acquisition unit is generated by the FFT analyzer unit 54 when the vibration generated by the calibration vibration generator is applied to the first acceleration pickup 14a serving as a reference in the acceleration pickup new data input mode. And acquiring the first level data of each frequency band. The acceleration pickup uncorrected SS112 is selected, the new data input mode is selected, the main memory unit 64 stores the level data of each frequency band acquired from the first acceleration pickup 14a serving as a reference, and the CPU 62 uses the main memory. Data is transferred from 64 to the flash memory 56c. The second acquisition unit acquires the second level data of each frequency band generated by the FFT analyzer unit 54 when the vibration generated by the calibration vibration generator is applied to the acceleration pickup 14a in use. The comparison calculator 56b compares the first level data of each frequency band read from the flash memory unit 66 with the second level data of each frequency band acquired from the acceleration pickup 14a in use. The diagnosing means (CPU 62) diagnoses whether or not the acceleration pickup 14a in use is abnormal, based on the comparison result data of the comparison calculator 56b.
As a result, the first level data of each frequency band acquired from the first acceleration pickup 14a, which is the reference of the vibration generated by the calibration vibration generator, and the first level data of each frequency band acquired from the acceleration pickup 14a in use. It is possible to diagnose the presence or absence of abnormality of the acceleration pickup 14a in use, based on the comparison result data with the level data of 2.
In addition, as the new data, the first level data at the time of new product may be acquired in advance from a new data acquisition device (not shown) having the same FFT algorithm and stored in the flash memory 56c at the time of manufacturing the measurement device. Good.

<Rotation speed input section>
The rotation speed input unit 18 includes a data selector 18a, selects any one of the data received from the operation input unit 17a, the tachometer 14c, and the device rotation speed database 17b to select the I/O bridge unit 60. Output to.
As shown in FIG. 2, the tachometer 14c is used, but the induction motor used in the plant does not change its rotation speed during normal operation except for the influence of slip due to load fluctuation. Once measured, there is no need to measure after the next time. Therefore, in the present embodiment, the device rotation speed database 17b for inputting and storing the rotation speed data for each device is provided, and the rotation speed data output from the device rotation speed database 17b is selected and used.

<Temperature number input section>
The temperature input unit 19 includes A/D converters 19a and 19b, converts the temperature signals received from the temperature sensor 14b and the temperature sensor 16 into digital signal temperature data, and outputs the temperature data to the I/O bridge unit 60.

<I/O bridge part>
The I/O bridge unit 60 has ports A to I as ports for inputting data, and is input to any one of the ports A to I according to a selection signal from the CPU. The data is output to the CPU 62.

<CPU>
A CPU (central processing unit) 62 has a ROM (read only memory) inside, reads an operating system OS from the ROM, expands it on the main memory unit 64, and boots the OS. A program (processing module) of application software is read and a GUI (Graphical User Interface) function and various processes are executed.
Since the CPU performs various processes in parallel with each task, the CPU may be one capable of processing multiple cores and multiple threads.

<Main memory part>
The main memory unit 64 has a RAM (random access memory) and provides a work area for operating system OS and application software programs.

<Flash memory part>
The flash memory unit 66 stores and holds the result data calculated by the CPU 62. The flash memory unit 66 stores the collected data.

<LCD display section>
The LCD display unit 68 displays, as data output from the CPU 62, a selection screen for the basic setting mode, a graph of processing results, signal input values, and the like. The LCD display unit 68 performs screen display of frequency analysis result, waveform display of velocity amplitude, acceleration waveform, crest factor and effective value display, thermometer display, and rotation speed display as other parameters.

<LAN_I/F section>
The LAN_I/F unit 70 has an interface that can be connected to the I/O bridge unit 60 and a wired LAN or a wireless LAN, and outputs data (collected data) output from the CPU 62 via the I/O bridge unit 60. It is transmitted to the vibration data server 25.

Next, with reference to FIG. 3, a software module configuration of the bearing simple diagnosis and measurement unit that operates in the measurement and diagnosis device 20 according to the embodiment of the present invention will be described.
As shown in FIG. 3, the bearing section simple diagnosis and measurement section 82 which is application software is located under the control of the operating system OS80.
The bearing simple diagnosis/measurement unit 82 includes a calibration comparison calculation display processing unit 83, a frequency analysis display processing unit 84, a digital BPF processing unit 85, a simple average calculation processing unit 86, a digital BPF processing unit 87, and a simple average calculation processing unit 88. A total harmonic distortion calculation processing unit 89, an acceleration crest factor processing unit 90, an acceleration amplitude calculation processing unit 91, a temperature display processing unit 92, and a rotation speed display processing unit 93 are provided.
Each section provided in the bearing section simple diagnosis and measurement section 82 inputs and outputs the following parameters via the OS.
(A) Frequency analysis value used for graph display (b) Grease breakage value used for numerical display (c) Cryogenic sound value used for numerical display (d) Total harmonic distortion used for numerical display +n (super high range, high range, Mid-range, low-range, rotation range, whole band) (e) Acceleration crest factor used for numerical display, effective value (f) Acceleration amplitude calculator (waveform) used for graph display
(G) Temperature display value used for numerical display: However, it is not displayed when the device is not connected. (h) Rotation speed display value used for numerical display. (a) to (d) are the FFT analyzer unit 54 It is the result of processing the output value.
(E) to (f) are the results of arithmetic processing of the obtained acceleration signal after the data after A/D conversion by the A/D converter 44 passes through the LPF 52.
(G) to (h) are signal values or input values from the temperature sensor 14b, the temperature sensor 16, the operation input unit 17a, the tachometer 14c, the device rotational speed database 17b, and the like.
(E) The acceleration crest factor is the ratio of the peak value of the vibration waveform to the effective value. According to an experiment conducted on so-called rolling bearings, the crest factor of vibration in a normal bearing is 4 to 5, whereas 5 to 10 in poor lubrication due to lack of lubricating oil, and flaking as a failure of the bearing. When scratches occur, the crest factor becomes 10 or more.
Note that the crest factor is effective as a criterion for immediately diagnosing the occurrence of flaking scratches even if the size of the bearing portion, the operating conditions, or the vibration measurement conditions change.
To determine the acceleration crest factor, the peak value and the effective value are calculated, and the pass/fail judgment is performed using the crest factor simple determination value.

Next, with reference to FIG. 4 to FIG. 20, the operation of the bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device 20 according to the embodiment of the present invention will be described.
The measurement/diagnosis apparatus 20 is provided with a power supply unit connected to, for example, an AC power supply. When the power switch is turned ON, DC power is supplied from the power supply unit to each unit provided in the measurement/diagnosis apparatus 20, and the CPU 62 is Is activated.
First, in step SM10, the CPU 62 reads the program of the operating system OS from the ROM provided therein, expands it on the main memory section 64, and executes the booting of the OS.
In step SM12, the CPU 62 carries out recognition confirmation processing of driver software for controlling the temperature sensor, DSP, A/D converter and the like.
In step SM14, the CPU 62 reads out a program (processing module) of application software for controlling the measurement/diagnosis apparatus 20 from the ROM under the OS management and starts it.

<Basic setting mode>
In step SM16, the CPU 62 issues a basic setting mode display command to the GUI. In the GUI, as shown in FIG. 8, as the basic setting mode, the “initial setting mode selection” button, the “correction/calibration mode selection” button, the “transmission/reception mode selection” button, and the “system stop selection” button are displayed on the LCD display unit 68. To display.
In step SM18, if the GUI detects that any one of the buttons displayed on the LCD display unit 68 is turned on, the CPU 62 shifts the processing to the subroutine indicated by the name of the button (call). Processing or jump processing).
If the user turns on the "initial setting mode selection" button displayed on the LCD display unit 68, the process proceeds to "initial setting mode selection" processing, and the "correction/calibration mode selection" button is turned on. If the "correction/calibration mode selection" process is performed, if the "transmission/reception mode selection" button is turned on, the "transmission/reception mode selection" process is performed, and the "system stop selection" button is turned on. In this case, the process proceeds to "system stop selection" processing.

When the "system stop selection" button is turned on, the process proceeds to step SM20 as "system stop selection" processing, and the CPU 62 stops the application software program (processing module) for controlling the measurement/diagnosis apparatus 20. Execute.
In step SM22, the CPU 62 executes the shutdown of the program of the operating system OS. As a result, the measurement/diagnosis device 20 is turned off.

When the "initial setting mode selection" button is turned on, the process proceeds to step SM30 as "initial setting mode selection" processing, and the CPU 62 reads the item set in the "previous use setting" from the flash memory unit 66, It is displayed on the LCD display unit 68.
As a result, the "previous use setting" screen as shown in FIG. 9 is displayed, and "Do you want to use the previous setting?", "OK" button, and "Cancel" button are displayed on the screen.

In step SM32, the CPU 62 determines whether to reuse the "previous use setting". That is, on the screen shown in FIG. 9, the CPU 62 proceeds to step SM34 when the “OK” button is turned on, and proceeds to step SM40 when the “cancel” button is turned on.
When the "previous use setting" is reused, in step SM34, when the "previous use setting" is used discontinuously, the "previous use setting" is called from the flash memory unit 66. Then, the process proceeds to step SM36 and step SM38.
In step SM36, the CPU 62 displays an accelerometer connection confirmation message, and proceeds to step SM64.
In step SM38, the CPU 62 executes the previous setting automatic setup processing, in step SM40, the subsequent processing start command, and in each processing of steps SM44, SM48, SM52, SM56, selects the previous setting in advance.
When the "previous use setting" is reused, in step SM34, when the "previous use setting" is continuously used, the "previous use setting" is not called from the flash memory unit 66, and the process proceeds to step SM38. The previous setting automatic setup process is limited to one time, the process proceeds to step SM36, the accelerometer connection confirmation message is displayed, and the process proceeds to step SM64.

In step SM40, the CPU 62 issues an initialization process start command.
<Accelerometer selection processing>
In step SM42, the CPU 62 issues a pickup attachment method selection command to the GUI. In the GUI, as shown in FIG. 10, as an acceleration pickup selection process, an “acceleration pickup 1 selection” button, an “acceleration pickup 2 selection” button, an “acceleration pickup 3 selection” button, and an “acceleration pickup correction-free” button are displayed on the LCD. This is displayed on the section 68.
In step SM44, when the user operates the "acceleration pickup 1 selection" button displayed on the LCD display unit 68 by ON, the process temporarily shifts to "acceleration pickup selection process" and then to "acceleration pickup 1 selection" process. When the "Acceleration pickup 2 selection" button is turned ON, the process first moves to "Acceleration pickup selection process" and then to the "Acceleration pickup 2 selection" process, and when the "Acceleration pickup 3 selection" button is turned ON Moves to the "acceleration pickup selection process" and then to the "acceleration pickup 3 selection" process. When the "no acceleration pickup correction" button is turned on, the "acceleration pickup selection process" is temporarily transferred to No pickup correction” processing is performed.
When the processing in step SM44 is completed, the CPU 62 shifts the processing to step SM46.

<Select database input mode>
In step SM46, the CPU 62 issues a tachometer input selection command to the GUI. In the GUI, as shown in FIG. 11, a “rotation speed manual input mode selection” button and a “rotation speed database input mode selection” button are displayed on the LCD display unit 68 as the rotation speed input selection mode processing.
In step SM48, when the "rotation speed manual input mode selection" button displayed on the LCD display unit 68 is turned on by the user, the process proceeds to "rotation speed manual input mode" processing, and "rotation speed database input mode selection" is performed. If the "button is turned on, the process proceeds to "rotation speed database input mode" processing.
When the processing in step SM48 is completed, the CPU 62 shifts the processing to step SM50.

<Selection of temperature sensor use>
In step SM50, the CPU 62 issues a temperature sensor input selection command to the GUI. In the GUI, as shown in FIG. 12, as a temperature sensor use selection process, a “temperature sensor use selection” button and a “temperature sensor non-use selection” button are displayed on the LCD display unit 68.
In step SM52, if the user has turned on the "temperature sensor use selection" button displayed on the LCD display unit 68, the process proceeds to "temperature sensor use" processing, and the "temperature sensor non-use selection" button is turned on. If yes, the process moves to the “temperature sensor not used” process.
When the process of step SM52 is completed, the CPU 62 shifts the process to step SM54.

<Selection of accelerometer mounting method>
In step SM54, the CPU 62 issues a pickup attachment method selection command to the GUI. In the GUI, as shown in FIG. 13, as the accelerometer mounting method selection processing, "screw selection" button, "insulation attachment selection" button, "double-sided tape selection" button, "magnet selection" button, "rod-shaped attachment selection" A button, “no cutoff or calibration mode selection” button is displayed on the LCD display unit 68.
In step SM52, if the user turns on the "screw stop selection" button displayed on the LCD display unit 68, the process proceeds to "screw stop selection" processing, and if the "insulation attachment selection" button is turned on. Moves to the "insulation attachment selection" process, moves to the "double-sided tape selection" process when the "double-sided tape selection" button is turned on, and "magnet selection" when the "magnet selection" button is turned on If you move to the process and the "stick attachment selection" button is turned on, move to the "stick attachment selection" process, and if the "No cutoff or calibration mode selection" button is turned on, "No cutoff"・Or move to “Calibration mode selection” processing.
When the processing in step SM56 is completed, the CPU 62 shifts the processing to step SM58.

<Initial setting condition storage command>
In step SM58, the CPU 62 issues an initial setting condition storage command. Next, in step SM60, the CPU 62 stores the initial setting condition set by the user in the flash memory unit 66. As a result, the initial setting conditions are stored in the flash memory unit 66.
Next, when the process of step SM60 is completed, the CPU 62 shifts the process to step SM62 and step SM168.

<Accelerometer connection confirmation>
At this stage, it is assumed that the cable of the acceleration pickup 14a is connected to the charge amplifier 32 and is further attached to the bearing portion which is the measurement site.
In step SM62, the CPU 62 issues to the GUI a message prompting confirmation of connection of the acceleration pickup and a command for displaying a "connection confirmation" button.
On the GUI, a message prompting confirmation of connection of the acceleration pickup and a “connection confirmation” button are displayed on the LCD display unit 68.
In step SM64, the CPU 62 determines whether or not an acceleration pickup is connected. Here, when the "connection confirmation" button is turned on from the GUI, the process proceeds to step SM66. On the other hand, if the "confirm connection" button has not been turned on, step SM64 is repeated.

<Error display>
In step SM66, CPU 62 issues an acceleration pickup function confirmation command and starts the timer.
In step SM68, the CPU 62 activates the charge amplifier 32 and charges the acceleration pickup 14a from the charge amplifier 32.
In step SM70, the CPU 62 determines whether or not the charging state of the acceleration pickup 14a is abnormal. That is, the CPU 62 determines whether or not there is an abnormality in the acceleration pickup in use based on the voltage state of the charge amplifier acquired from the A/D converter built in the charge amplifier 32 via the port H of the I/O bridge 60. Diagnose. If there is no abnormality in the charge state of the acceleration pickup 14a, the process proceeds to step SM76. On the other hand, if the charge state of the acceleration pickup 14a is abnormal, the process proceeds to step SM72.
In step SM72, CPU 62 returns to step SM68 if the timer elapses within 5 seconds, and proceeds to step SM74 if the timer elapses over 5 seconds.
In step SM74, the CPU 62 issues an error display command to the GUI. As shown in FIG. 14, the GUI displays a message “Check the mounting state of the accelerometer or the remaining power source” on the LCD display unit 68. Note that an error display may be displayed on the LCD display unit 68 even when the remaining amount of power is low during vibration measurement.
Next, when the process of step SM74 is completed, the CPU 62 returns to step SM18.

When there is no abnormality in the charging state of the acceleration pickup 14a, the CPU 62 issues an acceleration pickup function confirmation command to the GUI in step SM76, and proceeds to steps SM78 and SM82.
In step SM78, CPU 62 causes LCD display unit 68 to display a message "No acceleration pickup check abnormality".
In step SM82, the CPU 62 issues an automatic gain adjustment start message display command to the GUI. The GUI displays a message indicating “Start automatic gain adjustment” on the LCD display unit 68. Further, in the GUI, a message “whether the peak lamp is not lit” and a “Yes” button, a message “Gain-0.5 dB settled” and a “Yes” button are displayed on the LCD display unit 68. Then, the process proceeds to step SM84 and step SM86.
In step SM84, the CPU 62 shifts to the "pickup calibration mode condition satisfied" process (FIG. 22). The condition when the pickup calibration mode condition is satisfied is that the acceleration pickup is attached to the reference vibrator, not the measurement portion such as the bearing portion of the rotating device.

In step SM86, the CPU 62 determines whether or not the peak lamp is off. When the peak lamp is turned on, the reduction signal is given from the comparator 37 to the gain adjuster 36, and the reduction signal is gradually attenuated.
The CPU 62 determines that the peak ramp fault and the gain of −0.5 dB acquired from the A/D converter built in the peak detector 38 via the port I of the I/O bridge unit 60 have been settled. .. If the gain has not been set to 0.5 dB, the increased signal is given from the comparator 37 to the gain adjuster 36, and the increased signal gradually attenuates.
In step SM90, the CPU 62 confirms the completion of automatic gain adjustment.
In step SM92, the CPU 62 issues an "automatic gain adjustment completed" message display command to the GUI. The GUI displays a message indicating “automatic gain adjustment completed” on the LCD display unit 68.

<Automatic gain adjuster>
Here, the automatic gain adjustment unit 30 relating to the piezoelectric type acceleration pickup will be described.
An automatic gain adjustment unit 30 is provided to adjust the analog signal output from the piezoelectric acceleration pickup 14a. That is, a circuit is provided to prevent the measurement data from being defective due to overflow of the digit due to digitization due to the peak excess of the analog signal.
When collecting vibration data, if the gain on the input side exceeds, whether it is recorded as analog data or digital data, the circuit passes the signal, but any signal exceeding the maximum recordable level causes a "clip" phenomenon. Therefore, the data will be recorded in a distorted state.
For example, in the present embodiment, since the input signal is digitized by the A/D converter 44, this case occurs when the maximum value of the expressible voltage is exceeded. The vibration data recorded in this state becomes unreliable data. Therefore, the labor and cost such as re-acquisition of the vibration data occur, and therefore the input gain must be adjusted carefully. In order to prevent this clipping phenomenon, the input gain may be lowered, but if the input level is too low, a fine signal cannot be recorded, and there is a risk that the vibration data causing the abnormality may be missed.
Therefore, it is necessary to keep the input gain as high as possible without causing the clipping phenomenon.
In the conventional method, the user manually adjusts the input level by observing the digital level meter by manually adjusting the input level control knob or the input level scale so that the gain is appropriate.
When performing vibration measurement, the vibration force of the bearing differs depending on the rotating equipment, so if you measure the vibration of one bearing and then measure the vibration of another bearing, the input gain will be different, so readjust It had to be done. Therefore, there is a drawback that the user's labor is large.

Therefore, in the present embodiment, this problem is solved by providing a circuit configuration for automatically adjusting the input gain to an optimum value (controlling so as to keep the level at about -0.5 dB from the maximum value).
The value of about -0.5 dB from this maximum value is a value in which the head margin is added to the level at which clipping occurs.
In the related art, an example in which a gain adjuster is provided in order to adjust the input gain in a wireless device or the like is known. An audio signal such as that of a wireless device has a large fluctuation in the input signal level, and the gain adjuster adjusts the input gain according to the level of the level.
On the other hand, the vibration data is a constant vibration generated by the rotating device, and the input level does not greatly change during the measurement period. Therefore, as the operation of the gain adjuster, it is not necessary to finely control the input gain adjustment once adjustment is performed.
The advantage of this is that if the input gain is constant, the sampling data of the vibration data thereafter does not change and stable data can be sampled.

The automatic gain adjustment unit 30 includes a charge amplifier 32, an HPF/LPF (filter) 34, a gain adjuster 36, a comparator 37, a peak detector 38, a peak lamp 40, and an A/D converter 44.
The charge amplifier 32 inputs and amplifies the acceleration signal from the acceleration pickup 14a.
The HPF/LPF (filter) 34 limits the band of the amplified acceleration signal output from the charge amplifier 32 and passes it.
The gain adjuster 36 amplifies the acceleration signal from the acceleration pickup 14a by a predetermined amplification factor.
The comparator 37 compares the acceleration signal output from the gain adjuster 36 with the reference voltage and outputs a comparison result signal to the gain adjuster 36.
The comparator 37 limits the change range of the amplification factor of the gain adjuster 36 when the acceleration signal is larger than the reference voltage. The comparator 37 limits the upper limit of the change in the amplification factor of the gain adjuster 36 to around −0.5 dB so that the acceleration signal from the acceleration pickup 14a is not clipped.
In the comparator 37, the signal is not clipped, and in order to maximize the SN ratio, if the gain to be clipped is set to 0, the signal amplification factor is held at a value reduced by about −0.5 dB from which a head margin is provided. To configure.
The peak detector 38 detects an input signal of −0.5 dB or more and outputs the detected signal to the peak lamp 40. The peak lamp 40 lights up when a detection signal is input.
The A/D converter 44 quantizes the acceleration signal from the gain adjuster 36 and outputs the quantized acceleration data to the signal processing unit 50.

<Operation of automatic gain adjustment unit>
The operation of the automatic gain adjustment unit 30 will be described.
It is determined whether the input signal is above or below the clip level.
If it is above the clip level, the input signal is gradually reduced, and if the clip level reaches about -0.5 dB, the reduction signal input is stopped. When the input signal becomes appropriate, the LCD display unit 68 displays a message indicating that the level is appropriate, and notifies the user.
If the level is less than the clip level, the input signal is gradually increased until it is clipped once and then clipped. After that, similarly, an input gain reduction signal is transmitted, the input signal is gradually reduced, and when the clip level reaches about -0.5 dB, the reduction signal input is stopped.
After that, when the input signal becomes appropriate, the LCD display unit 68 displays a message indicating that the level is appropriate and notifies the user.
Further, in order to capture a fine signal having a low level, the SN ratio is expanded to 24 bits or more, so that a signal from a high level to a low level is completely recorded.
In the circuit configuration, a gain adjuster 36 is provided after the charge amplifier 32 of the pickup 14a to control the input gain to about -0.5 dB.
By performing the adjustment automatically, it is possible to save the labor for the worker to perform the gain adjustment.

Here, in the automatic gain adjustment unit 30, the gain adjuster 36 amplifies the acceleration signal from the acceleration pickup 14a by a predetermined amplification factor. The comparator 37 compares the acceleration signal output from the gain adjuster 36 with the reference voltage and outputs a comparison result signal to the gain adjuster 36. Here, the comparator 37 limits the change range of the amplification factor of the gain adjuster 36 when the acceleration signal is larger than the reference voltage.
Thereby, when the acceleration signal from the acceleration pickup 14a is larger than the reference voltage, the change range of the gain of the gain adjuster 36 can be limited.

Here, in the automatic gain adjustment unit 30, the charge amplifier 32 inputs and amplifies the acceleration signal from the acceleration pickup 14a. The HPF/LPF 34 limits the band of the amplified acceleration signal output from the charge amplifier 32 and passes it.
As a result, the band of the amplified acceleration signal obtained by amplifying the acceleration signal from the acceleration pickup 14a can be limited and passed.

Here, in the automatic gain adjustment unit 30, the comparator 37 limits the upper limit of the change of the gain of the gain adjuster to around −0.5 dB so that the acceleration signal from the acceleration pickup 14a is not clipped.
As a result, the upper limit of the change in the amplification factor of the gain adjuster 36 can be limited to around -0.5 dB so that the acceleration signal from the acceleration pickup 14a does not clip.

<Part measurement change processing OR pickup calibration mode OR new data input mode>
In step SM100, the CPU 62 confirms whether the "site measurement change processing OR pickup calibration mode OR new data input mode" button displayed on the LCD display unit 68 is on or off.
Here, when the "site measurement change processing OR pickup calibration mode OR new data input mode" button displayed on the LCD display unit 68 is ON, the process directly proceeds from step SM90 to step SM108.
On the other hand, if the “site measurement change processing OR pickup calibration mode” button displayed on the LCD display unit 68 is off, the process proceeds from step SM90 to step SM94.
In step SM94, the CPU 62 issues a temperature sensor confirmation check command to the GUI. In step SM96, the GUI displays a message indicating “start temperature sensor confirmation” on LCD display unit 68.
In step SM98, the CPU 62 executes temperature sensor OS recognition confirmation execution (temperature sensor for room temperature and temperature sensor for device). That is, the temperature sensor recognition confirmation is executed from the operating system OS side to acquire the presence/absence state of the temperature sensor abnormality.
In step SM102, the CPU 62 determines whether or not the temperature sensor has an abnormality. If there is an abnormality in the temperature sensor, the process proceeds to step SM104, and a message "There is an abnormality in the temperature sensor. Manual input." is displayed on the LCD display unit 68 as an error display. Next, in step SM106, the CPU 62 executes forced switching to the temperature sensor non-use manual input mode.
Next, in step SM110, the CPU 62 displays a message indicating that the temperature sensor has been prepared.
Next, in step SM108, the CPU 62 confirms that the preparation for measurement is completed. In step SM112, the CPU 62 displays a measurement preparation completion message on the LCD display unit 68, as shown in FIG.

<Measurement location equipment part selection mode>
Moving to FIG. 6, in step SM120, CPU 62 causes LCD display unit 68 to display a message (FIG. 15) indicating a transition to the measurement location device part selection mode.
In step SM122, the CPU 62 shifts to the subroutine of the measuring device/device part selecting process.
In step SM124, the CPU 62 executes a database reading process for the flash memory unit 66 (measurement device/device part, rotation speed database). In step SM126, the CPU 62 takes over the measuring device/part/rotation speed data to the next step.
The process proceeds from step SM122 to step SM128, and the CPU 62 determines whether or not the measurement start execution PB (push button) is ON. If the measurement start execution PB is not turned on, the process proceeds to step SM130, and as shown in FIG. 17, the measurement stop message is "Cancel the measurement. Select another device/part. Basic setting mode." Return to?” is displayed on the LCD display unit 68.
When it is detected that the "select other device/part" button is selected, the process proceeds to step SM132, a message "Measuring device/measurement part change process" is displayed on the LCD display unit 68, and the measuring device/measurement is performed. The process shifts to the site changing process.
On the other hand, when it is detected that the "return to basic setting mode" button is selected, the process proceeds to step SM134, the message "to select basic setting screen" is displayed on the LCD display unit 68, and the process proceeds to basic setting screen selection. To do.
On the other hand, when the measurement start execution PB is turned on in step SM128, the process proceeds to step SM138.

In step SM136, the CPU 62 issues a measurement restart command.
Next, in step SM138, the CPU 62 issues a measurement start command.
In step SM140, the CPU 62 shifts to the waveform output/store execution processing subroutine, and when returning from the subroutine, shifts to step SM150.
In step SM142, the CPU 62 shifts to the subroutine of the rotational speed data input process execution process, and when returning from the subroutine, shifts to step SM150.
In step SM144, the CPU 62 proceeds to the subroutine of the temperature data input processing execution processing, and when returning from the subroutine, proceeds to step SM150.
In step SM146, CPU 62 selects a pickup mounting method (cutoff frequency input), and proceeds to step SM148.
In step SM148, the CPU 62 moves to a subroutine of FFT operation result store execution processing, and when returning from the subroutine, moves to step SM150. The acceleration pickup correction is continuously processed by the sensitivity correction calculator 56a by the hardware (software processing) of the signal processing unit 50. If the new data input mode is selected in step SM148, the process proceeds to step SM151.
In step SM150, the CPU 62 confirms that all data stores have been completed. The measurement result is displayed as in screen example 11 shown in FIG. 18.
In step SM152, CPU 62 issues each parameter calculation execution command, and shifts to each process of bearing simple diagnosis and measurement unit 82.
In step SM151, the CPU 62 performs a new data flash memory store process, and performs a process of transferring the new data stored in the main memory unit 64 to the flash memory 56c.
In step SM153, the CPU 62 performs a reset operation of the new data input mode and returns to the basic setting mode. The reset operation resets the new data input mode transmitted from step SS120 shown in FIG. 24, and the data selector SEL1 in the signal processing unit (DSP) 50 shown in FIG. 6 is closed, SEL2 is opened, and SEL3 is closed, and the data path is set. To the initial state.

<Bearing simple diagnosis and measurement section>
In step SM154, the CPU 62 shifts to the subroutine of "total harmonic distortion+N calculation execution THD(n)X" processing, and when returning from the subroutine, shifts to step SM166.
In step SM156, the CPU 62 proceeds to the subroutine of the “grease cutting sound execution P(gr)” processing, and when returning from the subroutine, proceeds to step SM166.
In step SM158, the CPU 62 shifts to the subroutine of the “punching sound calculation execution P(ks)” process, and when returning from the subroutine, shifts to step SM166.
In step SM160, the CPU 62 moves to a subroutine of “crest factor calculation/determination execution f(Cr)” processing, and when returning from the subroutine, moves to step SM166.
In step SM162, the CPU 62 moves to a subroutine of “rotation speed data store execution (r)” processing, and when returning from the subroutine, moves to step SM166.
In step SM164, the CPU 62 shifts to the "temperature sensor data store value display/calculation execution (t)" processing subroutine, and when returning from the subroutine, shifts to step SM166.
Note that each processing of steps SM154 to SM164 may be sequentially executed.

In step SM166, the CPU 62 inputs each parameter calculation execution result acquired as a result of executing each process of steps SM154 to SM164.
In step SM168, CPU 62 inputs initial setting conditions, and proceeds to step SM170.
In step SM170, the CPU 62 shifts to the subroutine of the measurement result display screen display execution processing, and when returning from the subroutine, shifts to step SM172. As a result, the measurement result display screen is displayed as in the screen example 12 shown in FIG.

Moving to FIG. 7, in step SM172, the CPU 62 determines whether or not the “save” button shown in FIG. 19 has been turned ON, as confirmation of measurement data storage.
If the "save" button has not been turned on, the process moves to step SM174 to display a "measurement data clear confirmation" and "remeasurement reconfirmation" message. Next, in step SM176, the CPU 62 executes measurement data clear, clears the data temporarily stored in the main memory unit 64, and further shifts to the measurement restart command.
On the other hand, if the “save” button is turned on, the process proceeds to step SM178, and the CPU 62 stores the measurement data temporarily stored in the main memory unit 64 in the flash memory unit 66 as the measurement data storage execution process. .. As a result, as shown in the screen example 13 shown in FIG. 20, the screen for saving completion/next measurement device/measurement site selection is displayed.
In step SM180, CPU 62 determines whether or not to perform part measurement on another device. When performing site measurement for another device, the process proceeds to step SM182, the measurement condition store is called, the measurement condition is called from the flash memory unit 66 (measurement device/device part, rotation speed database), and “measurement device/ Measurement site change process".
On the other hand, if site measurement is not to be performed on another device, the process proceeds to step SM184, and a data collection end command is issued. Next, in step SM186, the CPU 62 issues a basic setting mode display command to the GUI. As a result, the screen example 1 shown in FIG. 8 is displayed on the LCD display unit 68.
Then, the CPU 62 returns to the "basic setting mode" (FIG. 4).

<Correction/calibration mode selection processing>
Next, with reference to FIG. 21, a subroutine of correction/calibration mode selection processing by the bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention will be described.
In step SS10, the CPU 62 starts the correction/calibration mode selection process.
In step SS12, the CPU 62 issues a calibration mode display command to the GUI. As a result, the LCD display unit 68 displays a "correction value input mode" button and a "pickup calibration mode" button.
In response to the user's ON operation of one of the buttons displayed on the LCD display unit 68, the process proceeds to step SS14 which is the "correction value input mode" or step SS16 which is the "pickup calibration mode".
When the "pickup calibration mode" button is turned on, in step SS16, the CPU 62 shifts to the "pickup calibration mode" (FIG. 22).

<Correction value input mode processing>
When the “correction value input mode” button is turned on, in step SS14, the CPU 62 starts the correction value input mode process.
In step SS18, the CPU 62 issues a pickup selection display command to the GUI. As a result, as in the screen example 14 shown in FIG. 34, the LCD display unit 68 has the "○○ company P-01" button, the "○○ company P-03" button, the ""○○ company P-05" button is displayed.
Depending on the user's ON operation of any one of the buttons displayed on the LCD display unit 68, the process proceeds to any one of the acceleration pickup 1 selection process, the acceleration pickup 2 selection process, and the acceleration pickup 3 selection process.
In step SS20, the CPU 62 issues an acceleration pickup 1 selection display command to the GUI. As a result, as in the screen example 15 shown in FIG. 35, the LCD display unit 68 receives an operation input for the correction value for each frequency of the reference calibration frequency (20 Hz, 80 Hz, 200 Hz, 500 Hz, 1 kHz, 2 kHz, 5 kHz, 10 kHz). The bar graph to accept is displayed. With respect to the bar graph for each frequency displayed on the LCD display unit 68, the user moves the bar graph to a desired height position while touching the screen or manually inputting by using the operation input unit 17a, and thereby the sensitivity is displayed by the GUI. Numerical input of a correction value for an error is accepted for each frequency. At this time, the correction value for each frequency is temporarily stored in the main memory unit 64.
Next, in step SS22, the CPU 62 determines whether or not the “save” button PB of the screen example 15 displayed on the LCD display unit 68 has been turned ON, and the determination is made until the “save” button PB is turned ON. Repeat the process.
When the "save" button PB is turned ON, the process proceeds to step SS24, and the CPU 62 saves the correction value data for the acceleration pickup 1 selection process in the flash memory unit 66.
As a result, it is possible to perform accurate signal correction on the acceleration pickup 1 for each frequency.
Note that the processes shown in steps SS26 to SS30 and steps SS32 to SS36 are the same as the processes shown in steps SS20 to SS24, so description thereof will be omitted.

<Pickup calibration mode processing>
Next, with reference to FIG. 22, a subroutine of the pickup calibration mode processing by the bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention will be described.
In step SS40, the CPU 62 starts the pickup calibration mode process.
In step SS42, the CPU 62 determines whether to execute the pickup calibration mode. Here, for example, an “OK” button and a “cancel” button are displayed on the LCD display unit 68 by GUI, and when the “cancel” button is turned on, the process returns to the basic setting mode (SM18).
On the other hand, when the "OK" button is turned ON, the process proceeds to step SS44, and the CPU 62 stores in the main memory unit 64 that the mode selection by the user at this time is the pickup calibration mode.
Next, in step SS46, the CPU 62 displays the message "Pickup calibration mode has been selected on the LCD display unit 68. After returning to the basic setting mode-initial setting mode and performing various settings, the accelerometer is mounted and the reference is set. Please start the vibrator and install the accelerometer." is displayed.
Next, in step SS46, the CPU 62 returns to the initial setting mode (SM30).

By the way, in step SS44, the CPU 62 stores in the main memory unit 64 that the current mode selection is the pickup calibration mode, and then sets the pickup calibration mode flag indicating the pickup calibration mode to the logic "1". Then, the result is given to step SS50 (AND logic processing).
On the other hand, the process proceeds from step SM84 shown in the main routine (FIG. 5) to "pickup calibration mode condition satisfied" processing, and in step SS48, "pickup calibration mode condition satisfied" processing is started.
In step SS50, the CPU 62 sets the pickup calibration mode condition establishment flag indicating that the pickup calibration mode condition is established to logic "1" and outputs it to the AND logic processing.
Next, in step SS51, the CPU 62 performs AND logic processing, and outputs a logic "1" to the signal processing unit 50 only when "1" is set to both inputs.

<Signal processing unit>
When the logic “1” is input to the OR logic in the AND logic processing in step SS51, the signal processing unit 50 outputs the logic “1” from the OR logic to the calibration mode determination unit 56d.
<Calibration mode>
The calibration mode determination unit 56d determines that the mode has been switched to the calibration mode when the input logical value is switched from the logic "0" to the logic "1", and switches the data selectors SEL1 and SEL2 to the closed state, The data selector SEL3 is switched to the open state.

The voltage data output from the A/D converter 44 provided in the automatic gain adjustment unit 30 is input to the LPF 52, and the low-pass filter processing by the LPF 52 causes the voltage data of 48 kHz as a frequency range to be transferred to the effective value converter 54a. Is output.
The rms value converter 54a performs rms value conversion on the voltage data input from the LPF 52, and the rms value voltage data that is the conversion result is output to the Hanning window function calculator 54b.
In the Hanning window function calculator 54b, the calculation result data obtained by multiplying the RMS voltage data input from the RMS value converter 54a by the Hanning window function is output to the FFT calculator 54c.
The FFT calculator 54c calculates the voltage component for each frequency of the acceleration pickup as an output value of each frequency in the power spectrum (output/frequency) of the vibration value for the calculation result data input from the Hanning window function calculator 54b. It is obtained and output to the comparison calculator 56b via the data selectors SEL1 and SEL2.
The data from the flash memory 56c is input to one of the comparison calculators 56b, and the data from the comparison calculator 56b is input to the other. The comparison calculator 56b performs subtraction processing for each frequency based on both data, and the subtraction result data is output to the I/O bridge unit 60.
In the I/O bridge unit 60, the subtraction result data output from the comparison calculator 56b is input and output to the CPU 62.

Next, in step SS52, the CPU 62 displays the subtraction result on the LCD display unit 68 as the calibration-new FFT data (FIG. 37). The result of the subtraction process may be subjected to a separate determination process to determine whether the acceleration pickup is good or bad. In this case, for example, a deviation within ±2% is within an allowable range.
Next, in step SS52, the CPU 62 determines whether or not the “result reset” PB26 displayed on the display screen has been turned ON.
When the “result reset” PB 26 is turned on, the CPU 62 outputs the logic “1” to the OR logic provided in the signal processing unit 50. As a result, the signal processing unit 50 repeats the above calibration mode.
On the other hand, when the "result reset" PB26 is turned on, the CPU 62 returns to the basic setting mode (SM18).

<Operation of sensitivity correction circuit section>
By providing the sensitivity correction circuit unit 56 for correcting the sensitivity of the acceleration pickup 14a on the downstream side of the FFT analyzer unit 54, the sensitivity is corrected by correcting the output level of each frequency band acquired by the FFT analyzer unit 54. ..
The correction input value of the sensitivity correction circuit unit 56 is made to be inputtable from the input screen based on the calibration record of the acceleration pickup 14a, and the result of correcting the sensitivity of each frequency band is deviated in a specific frequency band. Not a neutral value.
Although it depends on the sensitivity error of the acceleration pickup, the correction input value is subtracted for positive error and added for negative error to correct the sensitivity.
In the actual correction process, the output data of each frequency band subjected to the fast Fourier transform is multiplied by the correction value and added or subtracted from the original data to correct the characteristic (acceptable error) specific to the acceleration pickup. However, the data will be more reliable.

<Specific example of calibration by the sensitivity correction circuit unit 56>
Here, a specific example of calibration by the sensitivity correction circuit unit 56 will be described with reference to FIGS. Note that the sources of FIGS. 38(a) to 38(c) are "Kobayashi RIKEN News NO18-2" and Internet materials published on the Web.
In order to calibrate the accelerometer, the sensitivity value for each calibrated frequency of the accelerometer is obtained by referring to the calibration sheet represented by frequency-sensitivity value. The input of the correction signal is an inverse signal obtained by inverting the sensitivity value in order to make the sensitivity error neutral to the sensitivity error of the acceleration pickup as much as possible (the error on the vertical axis is 0 in FIG. 38A). Is input as a correction signal for correction.
For example, a correction signal with a Q value is input to the frequency band indicated by the arrow in FIG. 38A for the purpose of making the sensitivity of the acceleration pickup neutral.
The signal input to the calibration frequency is easy to understand, for example, assuming a graphic equalizer in audio equipment. As shown in FIG. 38(b), the correction signal is a signal having a certain Q value width for correcting each frequency band. The Q value is the bandwidth of the correction signal.
As shown in FIG. 38C, the Q value is a value obtained by dividing the correction center frequency by the bandwidth. Since the center frequency is fixed, the Q value is adjusted to change the bandwidth.
As the Q value is increased, the width of the crest becomes narrower, and it is possible to effectively adjust only the vicinity of the operating frequency. As the correction signal, the reciprocal of the correction frequency is input, the Q value is adjusted, and the correction signal curve C2 as shown in FIG. 38(a) is input. As a result, as shown in FIG. 38(a), adjustment is performed so as to form a corrected characteristic curve C3 that approaches neutral. The user inputs the correction signal amount from the LCD display unit 68. The Q value may be set in advance so that the bandwidth is wide in order to smoothly connect the signals.
If the calibration frequency differs depending on the manufacturer that manufactures the acceleration pickup, a correction device similar to a parametric equalizer that can change the calibration frequency, the Q value, and the signal amount may be used.
The parametric equalizer is a device that can finely adjust the signal characteristics over a plurality of items. Generally, a parametric equalizer can adjust three items (parameters). The central frequency, the bandwidth to be adjusted, and the signal amount. Of these, particularly with respect to the bandwidth, when the bandwidth is widened, the bandwidth is smoothly connected to the surrounding bandwidth. Therefore, when the adjacent bandwidth is also adjusted, it is important to balance it.
Regarding the correction input signal of the accelerometer, the reference frequency setting may be different depending on the manufacturer of the accelerometer, so prepare a correction value input mapping template for the accelerometer of a typical manufacturer and set the sensitivity correction value. Input on the input screen (FIG. 35).

(5) Description of calibration comparison circuit for piezoelectric accelerometer A comparison calculator is provided for device calibration. The purpose is to confirm whether or not the acceleration pickup has failed. The sensitivity error of the acceleration pickup is usually about 1%. When the accelerometer is new, vibration from the vibration generator for calibration is applied for comparative calibration, and the frequency analysis value when there is no correction value is stored in the flash memory unit 56c. When the calibration is performed after the start of use, it is compared with the comparative calibration data, and the presence or absence of an abnormality in the pickup is determined based on the comparison difference of the data. Multiple data can be saved because there are differences in the vibration generators used for calibration.
When the “correction/calibration mode selection” button shown in FIG. 8 is turned on, the three switches do not turn on, but two A contact relays that close when PB is ON and one B contact relay that opens when PB is ON. It is composed of.
Specifically, when the calibration mode is turned on,
(1) Bypass the sensitivity correction calculator downstream of the FFT calculator. (This is to prevent the correction value data from being mistakenly input before the comparison.)
(2) The signal to the bearing simple diagnosis measuring unit is cut off.
(3) A signal bypassing the sensitivity correction calculator is input to the comparison calculator.
(4) The vibration data before use of the pickup stored in the flash memory is compared and subjected to subtraction processing, and the result is automatically judged by the user by providing an evaluation or judgment value.
(5) Regarding abnormality judgment, if an error of ±several% of each reference frequency occurs, the message "There is a possibility of abnormality, please replace and check the accelerometer" is displayed on the display. It may be done.

<Transmission/reception mode selection processing>
Next, with reference to FIG. 23, a subroutine of transmission/reception mode selection processing by the bearing simple diagnostic measurement unit provided in the measurement diagnostic apparatus according to the embodiment of the present invention will be described.
In step SS60, the CPU 62 starts transmission/reception mode selection processing.
In step SS62, the CPU 62 issues a transmission/reception mode display command to the GUI. As a result, as shown in FIG. 36, the “data reception” button PB22 and the “data transmission” button PB24 are displayed on the LCD display unit 68.
In response to the user's ON operation of the “data reception” button PB22 displayed on the LCD display unit 68, the process proceeds to step SS74 which is the “reception mode”.
In response to the user's ON operation of the “data transmission” button PB24, the process proceeds to step SS64 which is the “transmission mode”.

<Transmission mode>
In step SS64, the CPU 62 executes a transmission mode process.
In step SS66, the CPU 62 causes the LAN_I/F unit 70 to transmit a data transmission request to the vibration data server 25 via the wireless LAN or the wired LAN.
Then, in step SS66, when the transmission start message transmitted from the vibration data server 25 is received via the LAN_I/F unit 70, the CPU 62 proceeds to step S68 and outputs a transmission start message display command to the GUI.
In step SS70, the CPU 62 reads the measurement data and the measurement device/device part database stored from the flash memory unit 66, and the LAN_I/F unit 70 sends the data to the vibration data server 25 via the wireless LAN or the wired LAN. Send.
Next, in step SS72, the CPU 62 issues a transmission completion message display command to the GUI. As a result, as shown in FIG. 36, the LCD display section 68 displays a message "transmission is completed."
Next, the CPU 62 returns to the basic setting mode (SM18).

<Reception mode>
In step SS74, the CPU 62 executes a transmission mode process.
In step SS76, the CPU 62 causes the LAN_I/F unit 70 to transmit a data reception request to the vibration data server 25 via the wireless LAN or the wired LAN.
Then, in step SS78, when the reception start message transmitted from the vibration data server 25 is received via the LAN_I/F unit 70, the CPU 62 proceeds to step S80 and outputs a reception start message display command to the GUI.
Next, in step SS78, the CPU 62 receives the measurement data and the measurement device/device part database from the vibration data server 25 via the LAN_I/F unit 70, and stores the measurement data in the flash memory unit 66. Similarly, the CPU 62 stores the measuring device/device part database in the flash memory unit 66.
Next, in step SS82, the CPU 62 issues a reception completion message display command to the GUI. As a result, as shown in FIG. 36, the LCD display 68 displays a message "Reception completed".
Next, the CPU 62 returns to the basic setting mode (SM18).

<Accelerometer selection processing>
Next, with reference to FIG. 24, a subroutine of the acceleration pickup selection process by the bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention will be described.
In step SS90, the CPU 62 starts the acceleration pickup selection process.
In steps SS92, SS100, SS106, SS112, the CPU 62 issues an acceleration pickup model description display command to the GUI. As a result, the LCD display section 68 displays the “acceleration pickup model description”, and also displays the “acceleration pickup 1 selection” button, the “acceleration pickup 2 selection” button, the “acceleration pickup 3 selection” button, and the “acceleration pickup correction not performed”. The Select button is displayed.
In steps SS94, SS102, SS108, and SS114, the CPU 62 responds to the user's ON operation to any one of the four buttons displayed on the LCD display unit 68 with steps SS98, SS104, SS110, and SS116, respectively. Move to.
In steps SS98, SS104, and SS110, the CPU 62 acquires the correction data input from the input unit 17a via the data selector 18a and the I/O bridge unit 60 and stores the correction data in the main memory unit 64. Similarly, in step SS116, the CPU 62 acquires the correction “0” data input from the input unit 17a via the data selector 18a and the I/O bridge unit 60 and stores it in the main memory unit 64.
Next, in step SS118, the CPU 62 executes correction data store/output processing. That is, the correction value input unit 56e has a memory therein, and the correction value input unit 56e provided in the signal processing unit 50 is used to store the memory content using the correction data acquired in steps SS98, SS104, SS110, and SS116. Rewrite some correction data.

<New data input mode processing>
In step SS119, the user determines whether or not the new data input mode is the new data input mode button from step SS116. If the new data input mode is selected, the process proceeds to step SS120. If not, the new data input mode is selected. The process proceeds to step SS118.
Here, the processing steps of the new data input mode in step SS120 will be described below.
In step SS120, vibration data from the new accelerometer 14a connected to the reference vibrator is acquired via the automatic gain unit 30, the signal processing unit (DSP) 50, and the port C of the I/O bridge 60. The CPU 62 stores the vibration data in the main memory unit 64, and the CPU 62 executes a processing step of inputting new data stored in the main memory to the flash memory 56c.
At that time, SEL1 in the signal processing unit (DSP) 50 shown in FIG. 6 is closed, SEL2 is closed, and SEL3 is opened to form a data path.
Note that the new data input mode of step 120 is reset when the new data is completely stored in the flash memory 56c in step SM153 shown in FIG. 6, and the original basic setting mode is returned to.

In the signal processing unit 50, the correction data which is the memory content of the correction value input unit 56e is output to the sensitivity correction calculator 56a.
On the other hand, in the FFT calculator 54c, with respect to the calculation result data input from the Hanning window function calculator 54b, the voltage for each frequency of the acceleration pickup is output as the output value of each frequency in the power spectrum (output/frequency) of the vibration value. The component is obtained and output to the sensitivity correction calculator 56a.
In the sensitivity correction calculator 56a, the correction data for each frequency input from the correction value input unit 56e is subtracted from the voltage component for each frequency input from the FFT calculator 54c, and the correction voltage for each frequency that is the subtraction result. The components are continuously and sequentially output to the simple bearing measuring unit 82.

Here, the correction value input unit 56e inputs the comparison result data as a correction value for each frequency band. The sensitivity correction calculator 56a corrects the level data of each frequency band output from the FFT analyzer unit 54 based on the correction value of each frequency band input from the correction value input unit 56e.
As a result, the level data of each frequency band output from the FFT analyzer unit 54 can be corrected based on the input correction result data of each frequency band.

Here, the correction value input unit 56e inputs the correction value of each frequency band. The sensitivity correction calculator 56a corrects the level data of each frequency band output from the FFT analyzer unit 54 based on the correction value of each frequency band input from the correction value input unit 56e.
As a result, the level data of each frequency band output from the FFT analyzer unit 54 can be corrected based on the input correction value of each frequency band.

<Rotation speed manual input mode processing>
Next, with reference to FIG. 25, a subroutine of the rotational speed manual input mode process by the bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention will be described.
In step SS130, the CPU 62 starts the rotational speed manual input mode process.
In step SS132, the CPU 62 issues a manual input mode message display command to the GUI. As a result, a "manual input mode message" is displayed on the LCD display unit 68. Then, the CPU 62 moves to step SS134 and returns to step SM48 (FIG. 4).
In step SS134, the CPU 62 determines whether or not an arbitrary value "xxxx rpm" has been input as the input on the manual input screen shown in FIG. When there is an input on the manual input screen, the manually input rotational speed data is stored in the main memory unit 64, and the process proceeds to step SS146.

<Rotation speed database input mode processing>
Next, with reference to FIG. 25, a subroutine of the rotation speed database input mode processing will be described.
In step SS136, the CPU 62 starts the rotation speed database input mode processing.
In step SS138, the CPU 62 issues a database input mode message display command to the GUI. As a result, the LCD display unit 68 displays the “database input mode message”. Then, the CPU 62 outputs the logic “1” to the AND logic processing and returns to step SM48 (FIG. 4).

<Database (rotational speed) reading/input processing>
Next, with reference to FIG. 25, a sub-routine of a database (rotational speed) read/input process by the bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention will be described.
When step SM140 (measurement device/device part selection process), which is a subroutine, is called from step SM122 (FIG. 6) of the main routine, the process proceeds to step SS142, and the CPU 62 starts the database (rotational speed) read/input process execution. To do.
That is, in step SS142, the CPU 62 reads the measuring device/device part and the rotation speed database from the flash memory unit 66 and stores them in the main memory unit 64. Then, the CPU 62 outputs the logic "1" to the AND logic processing.
On the other hand, in step SS144, the CPU 62 outputs the logic “1” as the measurement start command to the AND logic process.
In step SS145, the CPU 62 performs AND logic processing, and when both inputs are set to logic "1", the CPU 62 outputs logic "1" by the AND logic processing.

Further, in step SS146, the CPU 62 performs an AND logic process, and when both inputs are set to the logic “1”, the AND logic process outputs the logic “1”.
In step SS148, the CPU 62 performs the steps shown in FIG. 6 when an arbitrary value “xxxx rpm” is input as the manual input screen input in FIG. 18 in step SS134 or when the logic “1” is input from step SS146. Return to "execute rotation speed data input processing" of SM142.

<Temperature sensor use selection process and temperature sensor non-use selection process>
Next, with reference to FIG. 26, a subroutine of the temperature sensor use selection process and the temperature sensor non-use selection process by the bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention will be described.
When the sub-step SS150 "temperature sensor use selection process" is called from step SM52 (FIG. 4) of the main routine, the process proceeds to step SS150, and the CPU 62 starts the temperature sensor use selection process.
In step SS152, the CPU 62 issues a temperature sensor use mode message display command to the GUI. As a result, a "temperature sensor use mode message" is displayed on the LCD display unit 68. Then, the CPU 62 outputs the logic “1” indicating the temperature sensor use mode to the AND logic processing, and proceeds to step SS174.

On the other hand, in step SS154, the CPU 62 refers to step SM102 of the main routine, and the CPU 62 determines whether or not the temperature sensor abnormality is issued as a standby process.
When the measurement start command is issued, in step SS156, the CPU 62 refers to step SM106 of the main routine, and the CPU 62 executes forced switching to the temperature sensor non-use manual input mode. That is, the CPU 62 outputs the logic "1" as the compulsory switching flag to the OR logic and also outputs the logic "1" to step SS157.
In step SS157, when the switching from the logic "0" to the logic "1" is input, the CPU 62 activates the timer T1 (sec) and outputs the logic "0" as an inhibit flag for T1 time.
In step SS153, the CPU 62 performs AND logic processing, and when both inputs are set to logic “1”, the CPU 62 outputs logic “1” by the AND logic processing.

In step SS158, the CPU 62 stores in the flash memory unit 66 the temperature data regarding the room temperature input via the temperature sensor (room temperature) 16, the A/D converter 19a, and the I/O bridge unit 60.
In step SS160, the CPU 62 issues a message display command to the GUI for prompting the input of the measuring device temperature data. As a result, the LCD display 68 displays a reminder message “Please input the temperature data of the measuring device”.
In step SS162, the CPU 62 determines whether or not the temperature measurement execution of the measuring device is confirmed. When the temperature measurement execution of the measuring device is confirmed, the process proceeds to step SS164.
In step SS164, the CPU 62 stores the temperature data about the room temperature, which is input via the temperature sensor (device) 14b, the A/D converter 19b, and the I/O bridge unit 60, in the flash memory unit 66.
Then, the process proceeds to step SS190.

On the other hand, when the sub-step SS170 “temperature sensor non-use selection process” is called from step SM48 (FIG. 4) of the main routine, the process proceeds to step SS170, and the CPU 62 starts the temperature sensor non-use selection process.
In step SS172, the CPU 62 issues a temperature sensor non-use mode message display command to the GUI. As a result, a "temperature sensor non-use mode message" is displayed on the LCD display unit 68. Then, the CPU 62 displays that the temperature sensor is not in use mode, and proceeds to step SS174.
In step SS174, the process returns to "acceleration pickup attachment method selection process" in step SM56 (FIG. 4).
In step SS176, the user inputs whether to bypass the temperature measurement. When bypassing the temperature measurement, the process proceeds to step SS186.
On the other hand, when the temperature measurement is not bypassed, the logic "1" is output to the step S177 as the non-temperature measurement bypass flag.

In step SS177, the CPU 62 outputs the logic "1" from the OR logic processing when the logic "1" is set to either one of the two inputs as the OR logic processing.
In step SS178, the CPU 62 issues to the GUI a message display command prompting the user to input temperature data (room temperature) on the screen shown in FIG. As a result, a message "Please input room temperature (manual)." is displayed on the LCD display 68.
In step SS180, the CPU 62 determines whether or not the temperature data (room temperature) (xxx° C.) is manually input on the screen shown in FIG.
When the temperature data (room temperature) (xxx° C.) is manually input, the process proceeds to step SS182.
In step SS182, the CPU 62 issues to the GUI a message display command prompting the user to input temperature data (device) on the screen shown in FIG. As a result, a message "Please input the device temperature (manually)." is displayed on the LCD display unit 68.
In step SS184, the CPU 62 determines whether or not the temperature data (device) (xxx° C.) is manually input on the screen shown in FIG.
When the temperature data (apparatus) (xxx° C.) is manually input, the process proceeds to step SS190.
Then, the process returns to “execute temperature data input process” in step SM144 (FIG. 6).
On the other hand, if the temperature measurement is bypassed in step SS176, the process proceeds to step SS186, and "room temperature-°C" and "equipment temperature-°C" are set as "temperature "-" display input" indicating that there is no input for temperature data. It is stored in the main memory unit 64. Then, the process proceeds to step SS190.
Then, the process returns to “execute temperature data input process” in step SM144 (FIG. 6).

<Accelerometer mounting method selection processing>
Next, with reference to FIG. 27, a subroutine of the acceleration pickup attachment method selection processing by the bearing simple diagnosis and measurement unit provided in the measurement and diagnosis apparatus according to the embodiment of the present invention will be described.
<Screw stop selection process>
In step SS200, the CPU 62 starts screw stop selection processing.
In step SS202, the CPU 62 issues a screwing execution message display command to the GUI. As a result, the LCD display 68 displays the message "Please fix by screwing." Then, step SS236 is executed and the process proceeds to step SS204.
In step SS204, the CPU 62 inputs a 0 signal of f=25 KHz or more to the cutoff frequency function generator when “screw fastening” is selected. Then, it progresses to step SS238.

<Insulation attachment selection processing>
In step SS206, the CPU 62 starts the insulation attachment selection process.
In step SS208, the CPU 62 issues an insulation attachment execution message display command to the GUI. As a result, the LCD display 68 displays a message "Please fix using an insulating attachment." Then, step SS236 is executed and the process proceeds to step SS210.
In step SS210, the CPU 62 inputs a 0 signal of f=25 KHz or more to the cutoff frequency function generator when the “insulation attachment” is selected. Then, it progresses to step SS238.

<Double-sided tape selection processing>
In step SS212, the CPU 62 starts the double-sided tape selection process.
In step SS214, the CPU 62 issues a double-sided tape execution message display command to the GUI. As a result, the LCD display 68 displays a message "Please fix with double-sided tape and attach." Then, step SS236 is executed and the process proceeds to step SS216.
In step SS216, the CPU 62 inputs a 0 signal of f=15 KHz or more to the cutoff frequency function generator when “double-sided tape” is selected. Then, it progresses to step SS238.

<Magnet selection processing>
In step SS218, the CPU 62 starts magnet selection processing.
In step SS220, the CPU 62 issues a magnet execution message display command to the GUI. As a result, a message "Please fix using a magnet." is displayed on the LCD display unit 68. Then, step SS236 is executed and the process proceeds to step SS222.
In step SS222, the CPU 62 inputs a 0 signal of f=2 KHz or more to the cutoff frequency function generator when “magnet” is selected. Then, it progresses to step SS238.

<Bar attachment selection process>
In step SS224, the CPU 62 starts the rod-shaped attachment selection process.
In step SS226, the CPU 62 issues a stick-shaped attachment execution message display command to the GUI. As a result, the LCD display 68 displays a message "Please push with a rod-shaped attachment." Then, step SS236 is executed and the process proceeds to step SS228.
In step SS228, the CPU 62 inputs a 0 signal of f=500 Hz or more to the cutoff frequency function generator when the “rod-shaped attachment” is selected. Then, it progresses to step SS238.

<No cutoff/calibration mode selection processing>
In step SS230, the CPU 62 starts the cutoff-free/calibration mode selection process.
In step SS232, the CPU 62 issues a no cutoff/calibration mode execution message display command to the GUI. As a result, the LCD display 68 displays the message "No cutoff/calibration mode." Then, step SS236 is executed and the process proceeds to step SS234.
In step SS234, the CPU 62 inputs the f=f unchanged signal to the cutoff frequency function generator when “no cutoff/calibration mode” is selected. Then, it progresses to step SS238.

In step SS236, CPU 62 moves to step SM58 (FIG. 4).
In step SS238, CPU 62 transitions to step SM146 (FIG. 6).

Here, in steps SS204 to SS234, the CPU 62 configures a calculation unit, and depending on the type of the acceleration pickup 14a, the type of mounting member for mounting the acceleration pickup 14a on the bearing 11a of the rotating device, and the type of mounting method. Then, the level data at a frequency equal to or higher than the effective measurement frequency of the acceleration pickup 14a may be set as non-pass in the band pass filter, and the level data generated by the FFT analyzer unit 54 may be corrected. The LCD display unit 68 may display information related to the type of the acceleration pickup 14a, the type of mounting member, and the type of mounting method.
Thereby, depending on the type of the acceleration pickup 14a, the type of the mounting member, and the type of the mounting method, the level data at a frequency equal to or higher than the effective measurement frequency of the acceleration pickup 14a can be made non-passing, and the level data can be corrected, Information relating to the type of the acceleration pickup 14a, the type of mounting member, and the type of mounting method can be displayed.

Next, with reference to FIG. 39, a description will be given of filtering other than the effective measurement frequency depending on the type of mounting member of the acceleration pickup and the type of mounting method. Note that the source of FIG. 39 is “Facility Diagnosis Technology by Vibration Method (Basic Technology)” (Author: Takashi Takenouchi, Hidetomo Komura).
Generally, as shown in FIG. 39(a), when the acceleration pickup is attached to or pressed against an object to be measured, the contact surface is locally deformed and acts as a kind of spring. However, there is a phenomenon in which resonance determined by the mass of the spring and the acceleration pickup occurs. As shown in FIG. 39A, the highest point where the vibration level (response) suddenly rises is called a contact resonance point.
Here, the attachment method for generating the six contact resonance points shown in FIG. 39(a) is, as shown in FIG. 39(b), (1) screwing, (2) insulating attachment, (3) double-sided tape, (4) Magnet, (5) Round bar attachment, (6) Needle bar attachment.

FIG. 39(a) shows the difference in the frequency characteristic of the contact resonance point that occurs when a certain acceleration pickup is attached by six types of methods.
It can be seen from this that the upper limit of the frequency at which vibration can be accurately measured is determined depending on the method of mounting (pressing) the acceleration pickup.
For example, in general, an acceleration pickup capable of measuring a high frequency band has a resonance frequency band of 50 KHz, which is the measurement limit. Actually, it is known that the sensitivity increases at 30 KHz due to resonance with the measurement seat for mounting the acceleration pickup (in the case of screwing), and the measurement limit is about 20 KHz to 25 KHz. To do. Since there is a resonance peak beyond that, "0" data is added to the FFT data having a frequency of 25 KHz or higher in the subsequent stage of the A/D converter 44 to be eliminated.
Even if sensitivity correction is performed, the resonance frequency of the acceleration pickup itself changes depending on the mounting method, and data above the resonance frequency is meaningless. For this reason, a screen (Fig. 13) for selecting the mounting method of the accelerometer is displayed, the upper limit value of the measurable frequency is displayed, and when the actual measurement is started, the resonance frequency equal to or higher than the resonance frequency selected when the mounting method of the accelerometer is selected. Automatically cuts off.

<FFT operation result store execution processing>
Next, the subroutine of the FFT operation result store execution processing will be described with reference to FIG.
In step SS240, the CPU 62 starts FFT operation result store execution processing.
In step SS242, the CPU 62 stores the output signal from the FFT calculator 54c in the main memory unit 64. The output signal from the FFT calculator 54c is input to the CPU 62 via the sensitivity correction calculator 56a, the data selector SEL3, and the port A of the I/O bridge unit 60. At this time, the data input to the CPU 62 for a few seconds of the sampling period is temporarily stored in the main memory unit 64.
In step SS244, the CPU 62 receives the cutoff frequency corresponding to the pickup attachment method selected in step SM56, and in step SS246, based on the cutoff frequency, the FFT calculator 54c stored in step SS242. The output signal from is processed.
Next, in step SS248, the CPU 62 proceeds to step SM150 (FIG. 6).

<Waveform output/store execution processing>
Next, the subroutine of the waveform output/store execution processing will be described with reference to FIG.
In step SS250, the CPU 62 starts the waveform output/store execution processing.
In step SS252, the CPU 62 stores the output signal output from the LPF 52 of the signal processing unit 50 in the main memory unit 64. The output signal from the LPF 52 is input to the CPU 62 via the port B of the I/O bridge unit 60. At this time, the data input to the CPU 62 for a few seconds of the sampling period is temporarily stored in the main memory unit 64.
Next, in step SS254, the CPU 62 proceeds to step SM150 (FIG. 6).

<Rotation speed data input process execution process>
Next, with reference to FIG. 28C, a subroutine of the rotational speed data input processing execution processing will be described.
In step SS256, the CPU 62 starts the rotation speed data input processing execution processing.
At this time, in step SS260, the CPU 62 receives the rotation speed data input in step SS134, and in step SS264, the CPU 62 receives the rotation speed data read from the database of the flash memory unit 66 in step SS142.
Next, in step SS266, the rotation speed data is stored in the main memory unit 64.
Next, in step SS268, the CPU 62 proceeds to step SM150 (FIG. 6).

<Temperature data input process execution process>
Next, the subroutine of the temperature data input process execution process will be described with reference to FIG.
In step SS270, the CPU 62 starts the temperature data input process execution process.
At this time, in step SS274, the CPU 62 reads the room temperature data “xxx° C.” stored in the flash memory unit 66 in step SS158, and inputs the device temperature data stored in the flash memory unit 66 in step SS164. “Xxx° C.” is read and the process proceeds to step SS284.
Further, in step SS280, the CPU 62 reads the room temperature data “−” stored in the flash memory unit 66 in step SS186, and the device temperature data “−” stored in the flash memory unit 66 in step SS186. Is read, and the process proceeds to step SS284.
In step SS284, the CPU 62 performs OR logic processing to select the acquired room temperature data “xxx° C.” or room temperature data “−”, device temperature data input “xxx° C.” or device temperature data “−”, and further, step In SS284, those data are stored in the main memory unit 64 as room temperature/device temperature data.
Next, in step SS288, the CPU 62 shifts to step SM150 (FIG. 6).

<Total harmonic distortion + N calculation execution_THD(n)X processing>
Next, with reference to FIG. 29, a subroutine of total harmonic distortion+N calculation execution_THD(n)X processing by the bearing simple diagnosis/measurement unit provided in the measurement/diagnosis apparatus according to the embodiment of the present invention will be described.
In step SS300, the CPU 62 starts the total harmonic distortion+N calculation execution_THD(n)X processing. By inputting the cutoff frequency to the output data of the FFT calculator 54c, the total harmonic distortion +N (noise value) may become zero.
In step SS302, the CPU 62 inputs the data obtained by processing the output signal of the FFT calculator 54c, which is the result of the processing in step SM148 (FIG. 6, G1). Next, the processes of steps SS304 to SS314 are executed in parallel.
In step SS304, the CPU 62 outputs the result of extracting the data of “100 Hz or less” as THD(n)1 to the subsequent step SS330 as the extraction processing of the rotation range data.
In step SS306, the CPU 62 outputs the result of extracting the data of “100 Hz to 500 Hz” as THD(n)2 to the subsequent step SS330 as the low frequency data extraction processing.
In step SS308, the CPU 62 outputs the result of extracting the data of “500 Hz to 2 KHz” as THD(n)3 to the subsequent step SS330 as the mid-range data extraction processing.
In step SS310, the CPU 62 outputs the result of extracting the data “2 KHz to 10 KHz” as THD(n)4 to the subsequent step SS330 as the high frequency data extraction process.
In step SS312, the CPU 62 outputs the result of extracting the data of "10 KHz or more" as THD(n)5 to the subsequent step SS330 as the extraction processing of the ultra high frequency band data.
In step SS314, the CPU 62 outputs the result of extracting the data of “min to max value” as THD(n)6 to the subsequent step SS330 as the extraction processing of the entire area data.

On the other hand, in step SS320, the CPU 62 inputs the rotation speed data, which is the result of the processing in step SM142 (FIG. 6, G3). Next, in step SS322, the CPU 62 converts the rotation speed n into the frequency value f by f=n/60 as a rotation speed frequency value conversion process of converting the rotation speed n into the frequency value f.
In step SS324, the CPU 62 performs a process of deriving the reference frequency from the FFT data as the FFT data approximate value detection process of detecting the approximate value of the FFT data. Here, the CPU 62 determines the basic frequency F/basic frequency P (power) based on the input f value and the approximate value, and the FFT power value p that is superior to the front and rear frequencies, and outputs the determined value P(F) To do.
Next, in step SS330, the CPU 62 performs total harmonic distortion+N calculation processing to calculate THD(N)1 to THD(N)6 shown in FIG. 29 as THD(n)X.
here,
THD(N)1={p(f1) ² +p(f2) ² +p(f3) ² ...+p(f99) ² } ¹ / ² /P(F)
THD(N)2={p(f100) ² +p(f101) ² +p(f102) ² ...+p(f499) ² } ¹ / ² /P(F)
THD(N)3={p(f500) ² +p(f501) ² +p(f502) ² ...+p(f1999) ² } ^1/2 /P(F)
THD(N)4={p(f2000) ² +p(f2001) ² +p(f2002) ² ...+p(f9999) ² } ^1/2 /P(F)
THD(N)5={p(f10000) ² +p(f100001) ² +p(f100002) ² ...+p(fmax) ² } ^1/2 /P(F)
THD(N)6={p(fmin) ² ...+p(fmax) ² } ^1/2 /P(F)
Next, in step SS332, the CPU 62 stores and outputs the total harmonic distortion+N calculated value in the main memory unit 64, and proceeds to step SS334. Next, in step SS334, the CPU 62 executes calculation for each parameter. The result is input to step SM166.

Here, the A/D converter 44 quantizes the acceleration signal from the acceleration pickup 14a that detects the vibration of the rotating device. The FFT analyzer unit 54 performs a fast Fourier transform on the quantized acceleration data. In step SS322, the CPU 62 forms a conversion unit and converts the rotation speed of the rotating device into a reference frequency. In step SS330, the CPU 62 constitutes an acquisition unit, and acquires distortion values for a plurality of different harmonic bands having the reference frequency as the reference wave, out of the level data generated by the FFT analyzer unit 54. In step SS330, the CPU 62 constitutes a digitizing means and digitizes the deterioration state of the bearing portion 11a of the rotating device based on the distortion value in the harmonic band.
Thereby, among the level data of the acceleration signal from the acceleration pickup 14a that detects the vibration of the rotating device, the rotation speed of the rotating device is used as the reference wave of the reference frequency, and based on the distortion values for a plurality of different harmonic bands, It is possible to quantify the deterioration state of the bearing portion 11a of the rotating device.

Here, in step SS330, the CPU 62 constitutes a calculating means and calculates the harmonic distortion rate of each harmonic band and the harmonic distortion rate of all harmonic bands based on the distortion value for each harmonic band. To do. The CPU 62 constitutes a dividing means and divides the harmonic distortion rate of each harmonic band by the harmonic distortion rate of all harmonic bands to obtain a quotient value of each harmonic band.
Thus, based on the distortion value for each harmonic band, the harmonic distortion rate for each harmonic band can be divided by the harmonic distortion rate for all harmonic bands to obtain the quotient value for each harmonic band. it can.

Here, in step SS330, the CPU 62 may add the acquisition date and time to the distortion value for the harmonic band and store it in the flash memory unit 66. The CPU 62 causes the LCD display unit 68 to acquire the quotient value of each harmonic band obtained by the dividing means (SS330) based on the distortion value of the harmonic band of each acquisition date and time acquired from the flash memory unit 66. You may display in time series for every.
Accordingly, the quotient value of each harmonic band can be displayed in time series for each acquisition date based on the distortion value of the harmonic band of each acquisition date.

Next, with reference to FIG. 40, the function of measuring the increase in the amount of broadband noise in the bearing portion and quantifying the deterioration tendency of the bearing portion will be described. The source of FIG. 40 is “Know-how of state monitoring signal processing technology based on cases” by the Japan Society of Mechanical Engineers, 3DIM Giken/Hidetomo Komura, citation URL: http://3dim-lab.com/3dim/okayama_u/oka_32. pdf#search='%E6%95%85%E9%9A%9C%E5%88%86%E6%9E%90%EF%BC%88%E7%B2%BE%E5%AF%86%E8% A8%BA%E6%96%AD1%EF%BC%89.pdf'.
(Total harmonic distortion + noise)
By calculating the total harmonic distortion+noise (THD+n) from the output FFT data in the simple bearing measurement unit 82, the fundamental wave (rotating machine rotation speed frequency) of the entire frequency band when the bearing unit is damaged is calculated. By capturing the increase in the effective value of the higher-order frequency output and the increase in the effective value of the floor noise, the value is quantified as an index of overall deterioration of the bearing.
In order to quantify the sign of deterioration in the high frequency band, the data after the fast Fourier transform of the effective value of the waveform is represented by the harmonic distortion+noise value (THD+N) with the rotating machine frequency as the reference wave.
Here, the reference wave input is read by directly inputting the frequency of the rotating machine to the simple vibration measuring device or by inputting the rotational speed value from the screen, and inputting the value. By measuring the harmonic distortion + noise value of the output value at a higher frequency than the reference frequency, and taking into account the harmonic component as well, the conventional crest factor value (the ratio of the peak value/effective value of the signal waveform) Also enables highly accurate measurement.
Since the harmonic distortion component is increased, deterioration of the bearing portion can be grasped from a very early stage, and monitoring with higher accuracy than the conventional crest factor value becomes possible.
40A to 40D, the high range is the impact energy range of the bearing of the bearing, the middle range is the component resonance vibration range, the low range is the rolling bearing defect frequency range, and the rotation range is the basic rotation. Degradation of the bearing part by measuring the harmonic distortion + noise value (THD+N) of 6 bands in addition to this The progress can be expressed numerically.

Therefore, in the present embodiment, the harmonic distortion has a rotational range (100 Hz or less), a low range (about 100 HZ to 500 Hz), a middle range (500 Hz to 2 KHz), a high range (2 KHz to 10 KHz), and an ultra high range (10 KHz or more). , And the total band is divided into 6 parts, and the harmonic distortion+noise value (THD+N) of each is measured to make a graph and manage the trend. As the deterioration of the bearing progresses, it is possible to understand the deterioration tendency of the bearing in the order of ultra-high range→high range→middle range→low range→rotation range.
As a numerical value display method, the harmonic distortion rate of each band may be divided by the harmonic distortion rate of all bands to display the ratio of each band.
Since the high frequency region overlaps with the grease cutout sound and the squeak noise area of the bearing portion, which will be described separately, when the grease cut sound or the squeak noise is generated, the harmonic distortion rate of the same band also increases. The harmonic distortion factor +n is measured also in the region of 10 kHz or higher as the super high frequency region in order to avoid the influence of the crevice noise.

Here, a specific calculation of total harmonic distortion+n will be described.
By expressing the output value of each frequency band for checking the abnormality of the bearing part by total harmonic distortion +n, the power spectrum can be expressed by a simple numerical value, and there is an advantage that graphing becomes easy. ..
Further, in the calculation of total harmonic distortion+n, the output of the fundamental frequency is used as the denominator.
(1) The signal from the acceleration pickup is subjected to the RMS value conversion process by the RMS value converter 54a, and then the Hanning window function is multiplied by the Hanning window function calculator 54b, and the power spectrum (output of the vibration value is output from the FFT calculator 54c).・Frequency) is used to obtain the output value of each frequency (in this case, the voltage component for each frequency of the acceleration pickup).

(2) The rotation speed is input in advance from a digital tachometer or a rotation speed database of each device and converted into a frequency value.
Basic frequency = rotation speed/60
The rotation speed from the tachometer or the rotation speed database of the equipment is converted into a frequency value, the FFT data is approximated to that frequency (for example, within a basic frequency of ±1 Hz), and the frequency of the outstanding output value is calculated from the preceding and following data. Reference frequency".
After obtaining the reference frequency, the output value of the reference frequency is obtained.
This method is used because there is a difference in the value between the fundamental frequency value acquired using the tachometer and the fundamental frequency derived by the FFT calculator 54c in the FFT processing. (For example, when the basic frequency acquired by the tachometer is displayed at 60 Hz and the output of the basic frequency of 60.2 Hz is outstanding in the FFT calculator 54c, the basic frequency obtained from the rotation speed is not used as it is, and the approximation is made. , And the fundamental frequency is 60.2 Hz, which is a frequency with more outstanding output.)

(3) After output conversion, rotational speed range (1 Hz to 100 Hz), low range: defect frequency range (100 Hz to 500 Hz), middle range: resonance frequency range (500 Hz to 2000 Hz), high range: xiri/grease noise Calculation is performed for each frequency band of the region (2000 Hz to 10000 Hz), the ultra high region: impact energy region (10000 Hz to 25000 Hz), total harmonic distortion +n whole region (1 Hz to 25000 Hz).
Here, the calculation formula (example: rotation range) is
(P1 ² +p2 ² +p3 ² +...p100 ² ) ^1/2 /P(F)
P(F): power value of fundamental frequency, p=output value at each frequency, p1 ² +... p100 ² is an output value from frequency 1 Hz to 100 Hz.
In the case of a rotating machine, the basic frequency does not change and the output value is constant, but the output of the basic rotation speed is the denominator, so when the output of the basic frequency is high, all values are apparent. Will come down.
It is known that when the rotating machine is an air blower/exhaust machine or the like, when the impeller is dusted, the centrifugal force is increased to cause imbalance and the fundamental frequency output is increased. However, the pump is basically considered not to cause imbalance unless there is a problem such as deposits from the internal liquid on the impeller or a loss of the impeller. It is considered that there will be no rise.
In that case, as will be described later, since the output of the fundamental frequency is also collected, even if the values of all bands are apparently decreased, the cause can be clarified if the output value of the fundamental frequency can be confirmed.

(4) After obtaining each calculated value, graphing is performed as illustrated in FIGS. 40(a) to 40(d) to manage the tendency.
As shown in FIGS. 40(a) to 40(d), the progress of the failure of the bearing portion begins with the occurrence of predominance of frequencies in the high frequency band, and the number of predominant frequencies gradually increases in the low frequency band. By detecting that the bearing is broken, it is possible to know the degree of destruction of the bearing portion.
In a graph only using FFT conversion, it is difficult for the user to intuitively understand how the data changes from the past to the present. By statistically plotting the data on a graph and managing the change tendency, it becomes easy for the user to intuitively understand.
According to the present embodiment, for a device such as a bearing that is subject to change over time, the user manages the tendency of the degree of failure of the bearing to determine when to replace the bearing. You can

As a concrete guideline for replacement and inspection of the bearing part, when the bearing part is greased up and data is collected and the “THD+N” value of each band clearly increases compared to the past value It may be carried out.
As described above, in the present embodiment, in order to understand the failure progress of the bearing portion, the distortion data of the harmonics and the noise value “THD+N” value are quantified for each frequency band, and the data is accumulated and statistically expressed. Good.
Although the data of each frequency band is represented by the “THD+N” value, the data of each frequency band is not represented by the average value because the rotation frequency (reference frequency) of the device is different from the squeaking noise and the greasing noise. Because it depends. If the output of the reference frequency is large, the output of each frequency band is also large. Therefore, it is appropriate to represent it by the “THD+N” value.

<Grease noise calculation execution P(gr) process>
Next, with reference to FIG. 30, a sub-routine of the grease cutting noise calculation execution P(gr) processing by the bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention will be described.
In step SS340, the CPU 62 starts the grease cutting sound calculation execution P(gr) processing.
In step SS342, the CPU 62 inputs the data processed by the output signal of the FFT calculator 54c, which is the result of the processing in step SM148 (FIG. 6, G1).
In step SS344, the CPU 62 performs grease cutting sound calculation processing (P(gr):ave8000-10000). Here, the CPU 62 adds the frequency power values of the frequency band of 8 kHz to 10 kHz from the output signal of the FFT calculator 54c, divides by the total number of 8 kHz to 10 kHz, and outputs the simple average value P(gr).
P(gr)={P(f8000)+P(f8001)+P(f8002)...+P(f10000)}/(f10000-f8000)
In step SS346, the CPU 62 stores the grease cutting sound calculation value in the main memory 64 and outputs it.
In step SS348, CPU 62 inputs the result of executing the calculation for each parameter, and proceeds to step SM166.
Here, in step SS348, the CPU 62 configures a comparison unit and compares the measured value of the frequency band with the first reference value and the second reference value lower than the first reference value, respectively. Good. Further, the CPU 62 constitutes a judging means and judges that the rotating device is out of grease when the measured value is larger than the first reference value, and the measured value is the first reference value and the second reference value. If it is between the value and the value, it may be determined that the bearing portion 11a of the rotating device has an abnormality.

<Xiri sound calculation execution P(ks) processing>
Next, with reference to FIG. 31, a sub-routine of pry sound calculation execution P(ks) processing by the bearing simple diagnosis and measurement unit provided in the measurement and diagnosis device according to the embodiment of the present invention will be described.
In step SS350, the CPU 62 starts the pry sound calculation execution P(ks) process.
In step SS352, the CPU 62 inputs the data obtained by processing the output signal of the FFT calculator 54c, which is the result of the processing in step SM148 (FIG. 6, G1).
In step SS354, the CPU 62 performs a pungent sound calculation process (P(gr):ave4000-6000). Here, the CPU 62 adds the frequency power value in the frequency band 4 kHz to 6 kHz from the output signal of the FFT calculator 54c, divides it by the total number of 4 kHz to 6 kHz, and outputs the simple average value P(ks).
P(ks)={P(f4000)+P(f4001)+P(f4002)...+P(f6000)}/(f4000-f6000)
In step SS356, the CPU 62 stores the pry sound calculation value in the main memory 64, and proceeds to SS358.
In step SS358, CPU 62 inputs the result of executing the calculation for each parameter, and proceeds to step SM166.

Next, with reference to FIGS. 41 and 42, a description will be given of a function of quantifying the grease cutting noise and the squeaking noise generated in the bearing portion. Note that the sources of FIG. 41 and FIG. 42 are JEAG 4221-20XX technical guideline for facility diagnosis of nuclear power plant-rotating machine vibration diagnosis technology.
Normally, when the centering work is properly performed on the coupling attached to the rotary shaft of the pump or electric motor and there is no abnormality in the operating state, the main vibration factor that occurs from the bearing of the electric motor is generally grease. There are many occurrences of vibration and deterioration of bearings due to cutting.
For this reason, items such as misalignment and miscoupling that are measured during machine installation and during test runs after overhauling pumps and motors are necessary only during trial operation and ignored for normally assembled rotating equipment. it can.
A feature of the bearing portion lacking lubricating oil is that if the bearing portion lacks lubricating oil, the rolling bearing portion cannot rotate smoothly. As a result, the bearing portion itself is excited and abnormal vibration occurs.
The vibration of the bearing portion in which lubrication is insufficient shows a vibration waveform similar to the vibration of the normal bearing portion.
Further, since the vibration waveform does not have the periodicity as when a spot flaw is generated in the bearing portion but the random vibration, the waveform generally has no periodicity. The only difference from the vibration that occurs in a normal bearing is that the amplitude of the vibration increases.
Therefore, the effective value and the peak value of the vibration are larger than those in the normal state.

The main factors that influence the soundness of the bearing part are the large amount of grease enclosed in the bearing part and deterioration of the grease. Since it is important to pay attention to the state of the grease as the daily management of the bearing portion, it is important to manage and quantify the grease cutting noise.
As shown in FIG. 41( a ), the frequency band peculiar to the glissing noise is prominently shown in the 8 kHz to 10 kHz band when frequency analysis is performed, and is also expressed as noise in the entire frequency range.
In the present embodiment, by utilizing this characteristic, the frequency band in which the grease cutting sound appears remarkably is subjected to frequency analysis by the fast Fourier transform, and only the 8 k to 10 kHz band is extracted by the band pass filter. By displaying the extracted simple average output value of the frequency band on the LCD display unit 68, the grease cutting sound level can be quantified.
As a usage method, when the bearing is greased up, the quality of grease injection can be known by checking the change in the output level before and after the grease up. In addition, the tendency of the crease noise can be easily managed by measuring using the measurement/diagnosis device during regular inspection.

The creaking noise is a high-frequency abnormal noise generated in the grease lubricated bearing portion. It has the characteristic that abnormal metallic sound is generated and the vibration acceleration increases.
Although the generation mechanism of squeaky sounds is not completely understood, the squeaky sounds are relatively easy to judge at the level of precise diagnosis. As shown in FIG. 42(a), the sound has a wide sound pressure level in the vicinity of 4 kHz to 6 kHz, and is hardly affected by the size and rotation speed of the bearing portion.
Similar to the crackle noise, the squeaky sound is also subjected to frequency analysis of the frequency band of the vibration acceleration that appears remarkably by the fast Fourier transform, and only the 4 kHz to 6 kHz band is extracted by the digital filter (bandpass filter). By displaying the extracted simple average output value of the frequency band on the LCD display unit 68, the grease cutting sound level can be quantified.
It should be noted that both the greasing noise and the squeaking noise are characterized by higher harmonic distortion+N (2 KHz or higher) or higher.

When the level of the greasing noise and the squeaking noise increases, naturally, the level of the harmonic distortion+N in the high range also increases.
Therefore, in order to determine whether the cause of the increase in level in the high frequency range is due to grease cutting noise, squeaking noise or abnormal bearing parts, check each value and check the grease cutting noise. When the squeaking noise is relatively high, it can be determined that the grease has run out. On the other hand, when the squeaking noise and the squeaking noise are relatively low, it can be determined that the bearing is abnormal.
Here, a specific calculation of the greasing noise and the squeaking noise will be described.
The greasing sound and the squeaking sound each have a characteristic increase in the output level in the 8000 Hz to 10000 Hz and 4000 Hz to 6000 Hz bands (hereinafter, the respective frequency bands are referred to as "characteristic frequency bands"). The average value is calculated by simply averaging the output levels of the bands.
Note that the denominator is not divided by the output level of the fundamental frequency as in the case of total harmonic distortion, because in the case of greasing noise and creaking noise, it does not depend on the size of the bearing and the rotation speed. It is possible to manage the trend by looking at the output level value.

The formula for greasing sounds is
p(gr)=((p8000)+(p8002)+...+(p10000))/(V10000-V8000)
p(gr): simple average output level of grease cutting sound V8000 to V10000: frequency 8000 to 10000 Hz=2000
p8000 to p10000: output level of frequency 8000 to 10000 Hz

The formula for squeaky sounds is
p(ks)=((p4000)+(p4002)+...+(p6000))/(V6000-V4000)
p(ks): simple average output level of grease noise V4000 to V6000: frequency 4000 Hz to 6000 Hz=2000
p4000 to p6000: Output levels at frequencies of 4000 Hz to 6000 Hz After calculating the calculated values for the creaking noise and the squeaking noise, graphing is performed for each and the trend management is performed.

The reason why both the greasing noise and the squeaking noise are evaluated in a characteristic frequency band will be described.
Both the grizzling noise and the squeaking noise have lower levels in the high and low frequencies than the characteristic frequency band, but the output level is also shown. In addition, if a bearing failure (such as flaking scratches or minute scratches on the bearing balls of the bearing) occurs in the high and low frequencies above this characteristic frequency band, the characteristic frequency associated with the failure Appears to be an outstanding phenomenon.
Therefore, when the grease cutting noise is generated, noise associated with the grease cutting noise is mixed into a prominent frequency due to the failure of the bearing portion, and it is masked so to speak. If grease is applied to the bearing portion, noise is significantly reduced in frequency bands other than the characteristic frequency band. If the bearing has a failure, the output level remains at the characteristic frequency even after the noise of the grease cutting noise is removed and the bearing has a failure.
The reason for paying attention to the characteristic frequency band is that if the grease squeaking noise and the squeaking noise are averaged over the entire range, the characteristic frequency due to such a failure of the bearing will also be evaluated. Therefore, it becomes difficult to evaluate the greasing noise and the squeaking noise alone. Therefore, the objective can be achieved by focusing only on the characteristic frequency band.

Moreover, the reason why the simple average value is adopted is suitable for viewing the output level value within the band, regardless of the components of the greasing noise and the squeaking noise, where the high and low values of the frequencies within the characteristic frequency band are directly related. Because.
In the present embodiment, indiscriminate division into frequency bands is not performed without distinction. That is, the features are represented by the average value of each band by limiting to a specific frequency band of the greasing noise or the squeaking noise.

The average value of the greasing noise region surely decreases after the bearing portion is greased up.
As shown in FIGS. 41(a) and 41(b), by looking at the amount of change in the average value before and after grease-up, it is used as a criterion for determining whether or not the bearing portion is properly greased. be able to. However, even with the same bearing, there are factors such as variations due to differences in solids, variations due to mounting conditions on the bearing, and the possibility that the viscosity of the grease injected into the bearing may change due to changes in the ambient temperature (room temperature). .. Therefore, by collecting and accumulating the room temperature and the bearing portion temperature together and visually confirming the accumulated data, it is possible to confirm a long-term secular change tendency. By statistically managing the tendency, it is possible to perform management including factors unique to the bearing portion.

<Crest factor calculation/judgment execution f(Cr) processing>
Next, with reference to FIG. 32, a subroutine of crest factor calculation/determination execution f(Cr) processing by the bearing simple diagnosis and measurement unit provided in the measurement and diagnosis apparatus according to the embodiment of the present invention will be described.
In step SS360, the CPU 62 starts the crest factor calculation/determination execution f(Cr) process.
In step SS362, the CPU 62 stores the output signal output from the LPF 52 of the signal processing unit 50 in the main memory unit 64. The output signal from the LPF 52 is input to the CPU 62 via the port B of the I/O bridge unit 60. At this time, the data input to the CPU 62 for a few seconds of the sampling period is temporarily stored in the main memory unit 64.
In step SS364, the CPU 62 converts the acceleration signal into a velocity signal, performs velocity wave height peak value detection processing for detecting the high peak value of the velocity wave to detect f(Peak), and proceeds to step S366 to set the high peak value. The peak hold processing for maintaining the value is performed, the process returns to step SS364 again, and the peak value larger than the previous peak value is output to step S366, so that the peak value is fixed in a few seconds and stored in the main memory unit 64. Then, the process proceeds to step S368.

In step SS370, the CPU 62 performs velocity wave height effective value processing.
f(rms)=f(Peak)/√2
In step SS372, the CPU 62 performs speed crest factor calculation processing.
f(Cr)=f(Peak)/f(rms)
In step SS374, the CPU 62 outputs the speed crest factor calculation value.

On the other hand, in step SS376, the CPU 62 performs the speed effective value determination process based on the determination criteria for the large-sized machine (determination criteria for the large-sized machine (ISO 10816-1)).
Regarding the reference value used in the velocity effective value determination process used in step SS376, the CPU 62 stores registration data relating to the power consumption of the electric motor of the device for bearing measurement in the flash memory unit (measurement device/device part database) 66 in advance. Call and perform the process of changing the reference value for each device. The table shown in step SS376 is an excerpt of class 3 shown in table 1.
f(rms)=A, B, C, D
Table 1 shows the relationship between the evaluation and the rigidity basic vibration speed (cm/s) rms.

Here, class 1 is a small motor of 0 to 15 kW, class 2 is a motor of 15 to 75 kW or a machine of up to 300 kW and is installed on a solid foundation. Class 3 is a large machine and is installed on a solid foundation. The installed equipment, Class 4, is a large machine installed on a flexible structure foundation.
Machinery of Class 1 to Class 3 occupy most of the power plants, and it is possible to easily discriminate them from these vibration velocity values.
In step SS378, the CPU 62 calculates the logical product AND of the result of the speed crest factor calculation processing in step SS372 and the result of the speed effective value determination processing in step SS376, and proceeds to step SS380.
In step SS380, the CPU 62 performs, as a simple determination of the speed crest factor determination process,
f(Cr)=A, B, C, D
f(Cr)<5 A “Good”
f(Cr)=5 to 10 B "poor lubrication"
f(Cr)=10 to 20 C "Caution"
f(Cr)>20 D "Danger"
To determine.
However, when the speed effective value determination processing evaluation is "A", "-effective value determination A no abnormality. CF determination not performed" is displayed.
In step SS382, the CPU 62 outputs the calculated velocity effective value.
In step SS384, the CPU 62 inputs the result of executing the calculation for each parameter, and shifts to SM166.

<Rotation speed data store execution (r) processing>
Next, the subroutine of the rotational speed data store execution (r) processing will be described with reference to FIG.
In step SS390, the CPU 62 starts rotation speed data store execution (r) processing.
In step SS392, the CPU 62 inputs the selection result of the manual input mode, which is the result selected in step SM48 (FIG. 4, C1).
In step SS394, the CPU 62 inputs the selection result of the database input mode, which is the result selected in step SM48 (FIG. 4, C2).
In step SS396, CPU 62 inputs the selection result of the manual input mode or the selection result of the database input mode.
In step SS398, the CPU 62 confirms that “rotational speed (r) xxxxxx rpm” is stored in the main memory 64 as the rotational speed data.
In step SS400, the CPU 62 inputs the result of executing the calculation for each parameter, and proceeds to step SM166.

<Temperature sensor data store value display/calculation execution (t) processing>
Next, the subroutine of the temperature sensor data store value display/calculation execution (t) processing will be described with reference to FIG.
In step SS410, the CPU 62 starts the temperature sensor data store value display/calculation execution (t) process.
In step SS412, the CPU 62 inputs the result of temperature data input processing execution, which is the result of processing in step SM144 (FIG. 6, G4).
In step SS414, the CPU 62 confirms that “room temperature (t(r)) xx° C.” and “apparatus temperature (t(m)) yy° C.” are stored in the main memory unit 64 as temperature data.
In step SS416, the CPU 62 stores the results of “yy<xx+40 A “good”” and “yy>xx+40 B “caution”” in the main memory unit 64 as the temperature data determination process.
In step SS418, the CPU 62 inputs the result of executing the calculation for each parameter, and proceeds to step SM166.

Here, in step SS416, the CPU 62 causes the A/D converter 19a to quantize the temperature signal from the temperature sensor 16 that detects the temperature inside the room in which the rotating device is arranged. The A/D converter 19b quantizes the temperature signal from the temperature sensor 14b that detects the temperature of the bearing 11a of the rotating device. When the temperature data of the bearing unit 11a of the rotating device is lower than the reference value obtained by adding a predetermined value to the temperature data of the room, the CPU 62 constitutes a determining unit and the bearing unit 11a of the rotating device is normal. It may be determined that there is.

<Modification>
(1) The collected data is held in the measurement/diagnosis device and further stored in the vibration data server 25. Data can be easily managed with spreadsheet software or database software depending on the storage format.
(2) In the present embodiment, the integrated measurement/diagnosis device is used. However, since the signal processing unit 50 and thereafter perform digital processing, the automatic gain configured from the acceleration pickup 14a to the A/D converter 44 as dedicated hardware. By providing the adjustment unit 30 with a USB interface and connecting it to a notebook PC or a tablet PC with a USB cable, the subsequent processing can be operated by application software on the personal computer PC. Thereby, the cost can be reduced as compared with the integrated type.
(3) If the data output from the signal processing unit 50 is converted into a file, and the signal processing unit 50 is provided with a LAN interface, or is transmitted via a wired/wireless LAN, and the software is operated on the vibration data server 25, then the data can be sent to the site. Online monitoring is possible with a minimum equipment configuration without bringing in a PC.
(4) The device can be further downsized by narrowing down the function exclusively for managing the grease out of the bearing portion and omitting other arithmetic circuits. As a result, it becomes possible for the operator to easily manage the running out of grease, and for the maintenance staff to evaluate the sound of running out of grease when making grease up, thereby making it possible to judge the quality of grease injection.

<Structure, Action, and Effect of Embodiment of the Present Invention>
<First aspect>
The measurement/diagnosis device 20 of this aspect is a measurement/diagnosis device 20 that diagnoses whether or not there is an abnormality in the bearing 11a based on a measurement result of vibration generated in the bearing 11a of the rotating device. Of the level data generated by the A/D converter 44 that quantizes the acceleration signal from the pickup 14a, the fast Fourier transform of the quantized acceleration data, and the FFT analyzer 54, the rotating device BPF processing units 85 and 87 that pass level data in a frequency band of 4 kHz to 6 kHz or 8 kHz to 10 kHz that does not depend on the rotation speed of 4 and 6 kHz to 6 kHz that pass the digital BPF processing units 85 and 87, or 8 kHz to 10 kHz With respect to the level data of the frequency band, the simple average calculation processing units 86 and 88 for calculating an average value at each frequency in the frequency band to obtain a measurement value are provided.
According to this aspect, the A/D converter 44 quantizes the acceleration signal from the acceleration pickup 14a that detects the vibration of the rotating device. The FFT analyzer unit 54 performs a fast Fourier transform on the quantized acceleration data. Of the level data generated by the FFT analyzer unit 54, the digital BPF processing units 85 and 87 pass level data in the frequency band of 4 kHz to 6 kHz or 8 kHz to 10 kHz that does not depend on the rotation speed of the rotating device. The simple average calculation processing units 86 and 88 calculate the average value at each frequency within the frequency band with respect to the level data of the frequency band of 4 kHz to 6 kHz or 8 kHz to 10 kHz that has passed through the digital BPF processing units 85 and 87. The measured value.
As described above, with respect to the level data of the frequency band of the acceleration signal from the acceleration pickup 14a that detects the vibration of the rotating device, the level data of the frequency band of 4 kHz to 6 kHz or 8 kHz to 10 kHz that does not depend on the rotation speed of the rotating device. On the other hand, an average value is calculated at each frequency in the frequency band and used as a measurement value.
This makes it possible to measure vibrations of rotating equipment with simple operations, display indexed parameter values related to bearing vibrations, perform optimum vibration monitoring, and obtain optimum measurement results for managing collected data. It is possible to specialize in simple bearing vibration monitoring of rotating machines.

<Second mode>
The measurement/diagnosis apparatus 20 of the present aspect includes a comparison unit (SS348) that compares the measured value of the frequency band with the first reference value and the second reference value lower than the first reference value, and the measured value. Is greater than the first reference value, it is determined that the rotating device is out of grease, and when the measured value is between the first reference value and the second reference value, the bearing part of the rotating device is 11a is included in the determination unit (SS348) for determining that there is an abnormality.
According to this aspect, the comparison means (SS348) compares the measured value of the frequency band with the first reference value and the second reference value lower than the first reference value, respectively. The determining means (SS348) determines that the rotating device is out of grease when the measured value is larger than the first reference value, and the measured value is between the first reference value and the second reference value. When it is, it is determined that there is an abnormality in the bearing portion 11a of the rotating device.
As described above, when the measured value is larger than the first reference value with respect to the measured value in the frequency band, it is determined that the rotating device is out of grease, and the measured value is the first reference value and the second reference value. When it is within the reference value of, it can be determined that the bearing portion 11a of the rotating device has an abnormality.

<Third aspect>
The measurement/diagnosis device 20 of the present embodiment measures the temperature of the A/D converter 19a that quantizes the temperature signal from the temperature sensor 16 that detects the temperature of the room in which the rotating device is arranged, and the temperature of the bearing 11a of the rotating device. The temperature data of the bearing unit 11a of the rotating device is lower than the A/D converter 19b for quantizing the temperature signal from the temperature sensor 14b for detection and the reference value obtained by adding a predetermined value to the temperature data in the room. In this case, a determining unit (SS416) for determining that the bearing portion 11a of the rotating device is normal is provided.
According to this aspect, the A/D converter 19a quantizes the temperature signal from the temperature sensor 16 that detects the temperature of the room in which the rotating device is arranged. The A/D converter 19b quantizes the temperature signal from the temperature sensor 14b that detects the temperature of the bearing 11a of the rotating device. The determining means (SS416) determines that the bearing 11a of the rotating device is normal when the temperature data of the bearing 11a of the rotating device is lower than the reference value obtained by adding a predetermined value to the temperature data in the room. judge.
As described above, when the temperature data of the bearing portion 11a of the rotating device is lower than the reference value obtained by adding a predetermined value to the temperature data of the room in which the rotating device is arranged, the bearing portion 11a of the rotating device is It can be determined to be normal.

<Fourth aspect>
The measurement/diagnosis device 20 of this aspect is a measurement/diagnosis device 20 that diagnoses whether or not there is an abnormality in the bearing 11a based on a measurement result of vibration generated in the bearing 11a of the rotating device. An A/D converter 44 that quantizes the acceleration signal from the pickup 14a, an FFT analyzer unit 54 that performs a fast Fourier transform on the quantized acceleration data, and a conversion unit (SS322) that converts the rotational speed of the rotating device into a reference frequency. ), and an acquisition unit (SS330) for acquiring distortion values for a plurality of different harmonic bands having the reference frequency as a reference wave in the level data generated by the FFT analyzer unit 54, and a distortion value for the harmonic bands. Based on, the digitizing means (SS330) for digitizing the deterioration state of the bearing portion 11a of the rotating device is provided.
According to this aspect, the A/D converter 44 quantizes the acceleration signal from the acceleration pickup 14a that detects the vibration of the rotating device. The FFT analyzer unit 54 performs a fast Fourier transform on the quantized acceleration data. The conversion means (SS322) converts the rotation speed of the rotating device into a reference frequency. The acquisition unit (SS330) acquires, from the level data generated by the FFT analyzer unit 54, distortion values for a plurality of different harmonic bands with the reference frequency as the reference wave. The digitizing means (SS330) digitizes the deterioration state of the bearing portion 11a of the rotating device based on the distortion value in the harmonic band.
As described above, among the level data of the acceleration signal from the acceleration pickup 14a that detects the vibration of the rotating device, the rotation speed of the rotating device is used as the reference wave of the reference frequency, and based on the distortion values for a plurality of different harmonic bands. The deterioration state of the bearing 11a of the rotating device can be quantified.

<Fifth aspect>
The digitizing means (SS330) of this aspect calculates the harmonic distortion rate of each harmonic band and the harmonic distortion rate of all harmonic bands based on the distortion value of each harmonic band (SS330). ) And a division means (SS330) for dividing the harmonic distortion rate of each harmonic band by the harmonic distortion rate of all harmonic bands to obtain a quotient value of each harmonic band. To do.
According to this aspect, the calculating means (SS330) calculates the harmonic distortion rate of each harmonic band and the harmonic distortion rate of all harmonic bands based on the distortion value for each harmonic band. The dividing unit (SS330) divides the harmonic distortion rate of each harmonic band by the harmonic distortion rate of all harmonic bands to obtain a quotient value of each harmonic band.
Thus, based on the distortion value for each harmonic band, divide the harmonic distortion rate for each harmonic band by the harmonic distortion rate for all harmonic bands to obtain the quotient value for each harmonic band. You can

<Sixth aspect>
The digitizing means (SS330) of this aspect adds the acquisition date and time to the distortion value for the harmonic band and accumulates it, and the distortion for the harmonic band of each acquisition date and time acquired from the flash memory unit 66. An LCD display unit 68 that displays the quotient value of each harmonic band obtained by the dividing unit (SS330) based on the value in chronological order for each acquisition date and time.
According to this aspect, the flash memory unit 66 adds the acquisition date and time to the distortion value for the harmonic band and stores it. The LCD display unit 68 displays the quotient value of each harmonic band obtained by the dividing means (SS330) based on the distortion value of the harmonic band of each acquisition date and time acquired from the flash memory unit 66 for each acquisition date and time. Display in series.
In this way, the quotient value of each harmonic band can be displayed in chronological order for each acquisition date based on the distortion value for the harmonic band of each acquisition date.

<Seventh mode>
The measurement/diagnosis apparatus 20 of this aspect compares the gain adjuster 36 that amplifies the acceleration signal from the acceleration pickup 14a with a predetermined amplification factor, and compares the acceleration signal output from the gain adjuster 36 with the reference voltage. A comparator 37 that outputs a signal to the gain adjuster 36, and the comparator 37 limits the change range of the amplification factor of the gain adjuster 36 when the acceleration signal is larger than the reference voltage. To do.
According to this aspect, the gain adjuster 36 amplifies the acceleration signal from the acceleration pickup 14a by a predetermined amplification factor. The comparator 37 compares the acceleration signal output from the gain adjuster 36 with the reference voltage and outputs a comparison result signal to the gain adjuster 36. Here, the comparator 37 limits the change range of the amplification factor of the gain adjuster 36 when the acceleration signal is larger than the reference voltage.
As described above, when the acceleration signal from the acceleration pickup 14a is larger than the reference voltage, the change range of the gain of the gain adjuster 36 can be limited.

<Eighth aspect>
The measurement/diagnosis apparatus 20 of the present aspect includes a charge amplifier 32 that inputs and amplifies an acceleration signal from the acceleration pickup 14a, an HPF/LPF 34 that limits and passes a band of an amplified acceleration signal output from the charge amplifier 32, and It is characterized by including.
According to this aspect, the charge amplifier 32 inputs and amplifies the acceleration signal from the acceleration pickup 14a. The HPF/LPF 34 limits the band of the amplified acceleration signal output from the charge amplifier 32 and passes it.
In this way, the band of the amplified acceleration signal obtained by amplifying the acceleration signal from the acceleration pickup 14a can be limited and passed.

<Ninth aspect>
The comparator 37 of this aspect is characterized in that the upper limit of the change in the amplification factor of the gain adjuster 36 is limited to around -0.5 dB so that the acceleration signal from the acceleration pickup 14a is not clipped.
According to this aspect, the comparator 37 limits the change upper limit of the amplification factor of the gain adjuster 36 to around −0.5 dB so that the acceleration signal from the acceleration pickup 14a is not clipped.
In this way, the upper limit of the change in the amplification factor of the gain adjuster 36 can be limited to around -0.5 dB so that the acceleration signal from the acceleration pickup 14a does not clip.
As a result, for example, when the gain to be clipped is set to 0 dB, the signal amplification factor can be held at a value reduced by about −0.5 dB from which the head margin is provided, and the acceleration signal from the acceleration pickup 14a does not clip, And the SN ratio can be maximized.

<Tenth aspect>
The measurement/diagnosis apparatus 20 according to the present aspect is configured so that the effective measurement frequency of the acceleration pickup 14a depends on the type of the acceleration pickup 14a, the type of a mounting member for mounting the acceleration pickup 14a on the bearing 11a of the rotating device, and the type of the mounting method. Arithmetic means (SS204 to SS234) for setting the level data at the above frequencies to the bandpass filter as non-passing and correcting the level data generated by the FFT analyzer unit 54;
An LCD display unit 68 that displays information relating to the type of the acceleration pickup 14a, the type of mounting member, and the type of mounting method.
According to this aspect, the calculation means (SS204 to SS234) determines the acceleration according to the type of the acceleration pickup 14a, the type of the mounting member for mounting the acceleration pickup 14a on the bearing 11a of the rotating device, and the type of the mounting method. Level data at a frequency equal to or higher than the effective measurement frequency of the pickup 14a is set as a non-pass in the bandpass filter, and the level data generated by the FFT analyzer unit 54 is corrected. The LCD display unit 68 displays information related to the type of the acceleration pickup 14a, the type of mounting member, and the type of mounting method.
As described above, depending on the type of the acceleration pickup 14a, the type of mounting member, and the type of mounting method, the level data at a frequency higher than the effective measurement frequency of the acceleration pickup 14a can be made non-passing and the level data can be corrected. Information regarding the type of the acceleration pickup 14a, the type of the mounting member, and the type of the mounting method can be displayed.

<Eleventh mode>
When the vibration generated by the calibration vibration generator is applied to the first acceleration pickup 14a serving as a reference, the measurement/diagnosis apparatus 20 of the present embodiment has the first level of each frequency band generated by the FFT analyzer unit 54. A first acquisition unit that acquires data, a flash memory unit 66 that stores first level data of each frequency band acquired from the first acceleration pickup 14a that serves as a reference, and a vibration generated by the vibration generator for calibration. Second acquisitor for acquiring the second level data of each frequency band generated by the FFT analyzer unit 54 when applied to the accelerometer 14a in use, and each frequency band read from the flash memory unit 66. Acceleration data in use based on the comparison result data of the comparison calculator 56b for comparing the first level data of No. 1 with the second level data of each frequency band acquired from the acceleration pickup 14a in use, and the comparison result data of the comparison means. And a diagnostic means (CPU 62) for diagnosing whether or not there is an abnormality in the pickup 14a.
According to this aspect, the first acquisition unit applies the vibration generated by the calibration vibration generator to the first acceleration pickup 14a that serves as the reference, in the frequency bands generated by the FFT analyzer unit 54. Obtain first level data. The flash memory unit 66 stores the first level data of each frequency band acquired from the first acceleration pickup 14a serving as a reference. The second acquisition unit acquires the second level data of each frequency band generated by the FFT analyzer unit 54 when the vibration generated by the calibration vibration generator is applied to the acceleration pickup 14a in use. The comparison calculator 56b compares the first level data of each frequency band read from the flash memory unit 66 with the second level data of each frequency band acquired from the acceleration pickup 14a in use. The diagnosing means (CPU 62) diagnoses whether or not the acceleration pickup 14a in use is abnormal, based on the comparison result data of the comparison calculator 56b.
In this way, the first level data of each frequency band acquired from the first acceleration pickup 14a, which serves as a reference for the vibration generated by the calibration vibration generator, and each frequency band acquired from the acceleration pickup 14a in use. Based on the comparison result data with the second level data, it is possible to diagnose whether or not the acceleration pickup 14a in use is abnormal.

<Twelfth aspect>
The measurement/diagnosis apparatus 20 of this aspect includes a correction value input unit 56e for inputting comparison result data as a correction value for each frequency band,
A sensitivity correction calculator 56a for respectively correcting the level data of each frequency band output from the FFT analyzer unit 54 based on the correction value of each frequency band input from the correction value input unit 56e;
It is characterized by having.
According to this aspect, the correction value input unit 56e inputs the comparison result data as a correction value for each frequency band. The sensitivity correction calculator 56a corrects the level data of each frequency band output from the FFT analyzer unit 54 based on the correction value of each frequency band which is the comparison result data input from the correction value input unit 56e.
In this way, the level data of each frequency band output from the FFT analyzer unit 54 can be corrected based on the input correction result data of each frequency band.

<Thirteenth mode>
The measurement/diagnosis apparatus 20 of this aspect outputs from the FFT analyzer unit 54 based on the correction value input unit 56e that inputs the correction value of each frequency band and the correction value of each frequency band that is input from the correction value input unit 56e. And a sensitivity correction calculator 56a for correcting the level data of each frequency band.
According to this aspect, the correction value input unit 56e inputs the correction value of each frequency band. The sensitivity correction calculator 56a corrects the level data of each frequency band output from the FFT analyzer unit 54 based on the correction value of each frequency band input from the correction value input unit 56e.
In this way, the level data of each frequency band output from the FFT analyzer unit 54 can be corrected based on the input correction value of each frequency band.

<Fourteenth aspect>
The measurement/diagnosis method of this aspect is a measurement/diagnosis method by the measurement/diagnosis apparatus 20 for diagnosing the presence or absence of abnormality of the bearing 11a based on the measurement result of the vibration generated in the bearing 11a of the rotary equipment. The FFT analyzer unit 54 that performs fast Fourier transform on the quantized acceleration data obtained from the A/D converter 44 that quantizes the acceleration signal from the acceleration pickup 14a to be detected, and the level data generated by the FFT analyzer unit 54. Of which, 4 kHz to 6 kHz that does not depend on the rotation speed of the rotating device, or digital BPF processing units 85 and 87 that pass level data in the frequency band of 8 kHz to 10 kHz, and 4 kHz to 6 kHz that have passed the digital BPF processing units 85 and 87, Alternatively, with respect to the level data in the frequency band of 8 kHz to 10 kHz, simple average calculation processing units 86 and 88 for calculating an average value at each frequency in the frequency band to obtain a measurement value are executed.
Since the operation and effect of the fourteenth aspect are the same as those of the first aspect, the description thereof will be omitted.

<Fifteenth aspect>
The measurement/diagnosis method of this aspect is a measurement/diagnosis method by the measurement/diagnosis apparatus 20 for diagnosing the presence or absence of abnormality of the bearing 11a based on the measurement result of the vibration generated in the bearing 11a of the rotary equipment. An FFT analyzer unit 54 that performs a fast Fourier transform on the quantized acceleration data obtained from the A/D converter 44 that quantizes the acceleration signal from the acceleration pickup 14a to be detected, and a rotational speed of the rotating device to a reference frequency. A conversion step (SS322), an acquisition step (SS330) of acquiring distortion values for a plurality of different harmonic bands using the reference frequency as a reference wave in the level data generated by the FFT analyzer unit 54, and a harmonic band Quantifying step (SS330) for quantifying the deterioration state of the bearing portion 11a of the rotating device based on the strain value of (3).
The actions and effects of the fifteenth aspect are the same as those of the fourth aspect, and therefore description thereof will be omitted.

12... Generator, 11a... Bearing part, 14a... Accelerometer, 14b... Temperature sensor, 14c... Tachometer, 16... Temperature sensor, 17a... Operation input part, 17a... Input part, 17b... Equipment rotation speed database, 18 ... Rotation speed input section, 18a... Data selector, 19... Temperature input section, 19a... D converter, 19b... D converter, 20... Measurement diagnostic device, 25... Vibration data server, 30... Automatic gain adjusting section, 32... Charge amplifier, 34... LPF, 36... Gain adjuster, 37... Comparator, 38... Peak detector, 40... Peak lamp, 44... A/D converter, 50... Signal processing unit, 52... LPF, 54... FFT Analyzer part, 54a... RMS converter, 54b... Hanning window function calculator, 54c... FFT calculator, 56... Sensitivity correction circuit part, 56a... Sensitivity correction calculator, 56b... Comparison calculator, 56c... Flash memory, 56d ...Calibration mode determination unit, 56e...Correction value input unit, 60...I/O bridge unit, 62...CPU, 64...Main memory unit, 66...Flash memory unit, 68...LCD display unit, 82...Bearing simple diagnostic measurement unit , 82... Bearing simple measuring section, 82... Bearing simple diagnostic measuring section, 83... Calibration comparison calculation display processing section, 84... Frequency analysis display processing section, 85... Digital BPF processing section, 85, 87... Digital BPF processing section, 86... Simple average calculation processing unit, 86, 88... Simple average calculation processing unit, 87... Digital BPF processing unit, 88... Simple average calculation processing unit, 89... Total harmonic distortion calculation processing unit, 90... Acceleration crest factor processing unit , 91... Acceleration amplitude calculation processing section, 92... Temperature display processing section, 93... Rotation speed display processing section

Claims (10)

A measurement/diagnosis device for diagnosing whether or not there is an abnormality in the bearing portion based on a measurement result of vibration occurring in a bearing portion of a rotating device,
An A/D converter for quantizing the acceleration signal from the acceleration detecting means for detecting the vibration of the rotating device;
Fast Fourier transform means for fast Fourier transforming the quantized acceleration data,
Of the level data generated by the fast Fourier transforming means, a bandpass filter that passes level data in a frequency band of 8 kHz to 10 kHz,
Calculating means for calculating the average value of the level data of all frequencies in the frequency band as the measured value for the level data of the frequency band of 8 kHz to 10 kHz that has passed through the bandpass filter,
Comparison means for respectively comparing the measured value of the frequency band with a first reference value and a second reference value lower than the first reference value;
When the measured value is larger than the first reference value, it is determined that the rotating device is out of grease, and the measured value is between the first reference value and the second reference value. If there is a determination means for determining that there is an abnormality in the bearing of the rotating device,
A measurement/diagnosis device comprising: A second A/D converter that quantizes the temperature signal from the first temperature sensor that detects the temperature of the room in which the rotating device is placed;
A third A/D converter that quantizes the temperature signal from the second temperature sensor that detects the temperature of the bearing portion of the rotating device;
When the temperature data of the bearing of the rotating device is lower than a reference value obtained by adding a predetermined value to the temperature data of the room, a determining unit that determines that the bearing of the rotating device is normal,
The measurement/diagnosis apparatus according to claim 1, further comprising: A gain adjuster for amplifying the acceleration signal from the acceleration detecting means by a predetermined amplification factor;
A comparator that compares the acceleration signal output from the gain adjuster with a reference voltage and outputs a comparison result signal to the gain adjuster;
The measurement/diagnosis device according to claim 1, wherein the comparator limits a change range of an amplification factor of the gain adjuster when the acceleration signal is larger than the reference voltage. Between the acceleration detecting means and the gain adjuster, a charge amplifier for inputting and amplifying an acceleration signal from the acceleration detecting means,
The filter which limits the band of the amplified acceleration signal output from the said charge amplifier, passes it, and outputs it to the said gain adjuster, The measurement diagnostic apparatus of Claim 3 characterized by the above-mentioned. The said comparator limits the change upper limit of the amplification factor of the said gain adjuster as -0.5 dB so that the said acceleration signal from the said acceleration detection means may not clip, The limit of Claim 3 characterized by the above-mentioned. Measurement diagnostic device. Level data at a frequency equal to or higher than the effective measurement frequency of the acceleration detecting means according to the type of the acceleration detecting means, the type of a mounting member for mounting the acceleration detecting means on the bearing portion of the rotating device, and the type of a mounting method. Is set to a bandpass filter as non-passing, and a calculation means for correcting the level data generated by the fast Fourier transform means,
Information display means for displaying information relating to the type of the acceleration detecting means, the type of the mounting member, and the type of the mounting method,
The measurement/diagnosis device according to any one of claims 1 to 5, further comprising: A first acquisition for acquiring the first level data of each frequency band generated by the fast Fourier transforming means when the vibration generated by the calibration vibration generator is applied to the first acceleration detecting means serving as a reference. Means and
Storage means for storing first level data of each frequency band acquired from the reference first acceleration detecting means;
Second obtaining means for obtaining second level data of each frequency band generated by the fast Fourier transforming means when the vibration generated by the calibration vibration generator is applied to the acceleration detecting means in use; ,
Comparing means for comparing the first level data of each frequency band read from the storage means with the second level data of each frequency band acquired from the acceleration detecting means in use;
Based on the comparison result data of the comparison means, a diagnostic means for diagnosing the presence or absence of abnormality of the acceleration detection means in use,
The measurement/diagnosis device according to any one of claims 1 to 6, further comprising: Correction value input means for inputting the comparison result data as a correction value for each of the frequency bands;
A sensitivity correction calculator that corrects the level data of each frequency band output from the fast Fourier transforming unit based on the correction value of each frequency band input from the correction value inputting unit;
The measurement/diagnosis device according to claim 7, further comprising: Correction value input means for inputting a correction value for each frequency band,
A sensitivity correction calculator that corrects the level data of each frequency band output from the fast Fourier transforming unit based on the correction value of each frequency band input from the correction value inputting unit;
The measurement/diagnosis device according to claim 7, further comprising: A method of measuring and diagnosing by a measuring and diagnosing device for diagnosing whether or not there is an abnormality in the bearing portion based on a measurement result of vibration occurring in a bearing portion of a rotating device,
A fast Fourier transform step of performing a fast Fourier transform on the quantized acceleration data obtained from an A/D converter for quantizing an acceleration signal from an acceleration detecting means for detecting vibration of the rotating device;
Of the level data generated by the fast Fourier transform step, a bandpass filter step for passing level data in a frequency band of 8 kHz to 10 kHz,
With respect to the level data in the frequency band of 8 kHz to 10 kHz that has passed through the bandpass filter step, a calculation step of calculating an average value of the level data of all frequencies in the frequency band as a measurement value,
A comparison step of respectively comparing the measured value of the frequency band with a first reference value and a second reference value lower than the first reference value;
When the measured value is larger than the first reference value, it is determined that the rotating device is out of grease, and the measured value is between the first reference value and the second reference value. A determination step of determining that there is an abnormality in the bearing portion of the rotating device when there is,
A method for measuring and diagnosing, comprising:

Images