JP6475906B2 - Hulling machine monitoring device - Google Patents

Description

  The present invention relates to a monitoring device for a rotating machine that detects a current operating state or abnormality of the rotating machine or predicts a future failure of the rotating machine.

  Conventionally, various vibrations associated with the operation of the device are detected to detect the current operating state and abnormality of each part, or various vibrations associated with the operation of the device are detected to predict future failures. Monitoring devices or vibration detection devices for rotating machines are well known.

  As a conventional vibration detection device, for example, the invention described in Patent Literature 1 includes a vibration detection unit and a calculation unit that performs a fast Fourier transform (FFT) process, and the control unit of the device includes the control unit of the device. A type information transmission means for classifying a model or a detection item is provided, and the calculation result processed by the calculation unit is configured to be output to the control unit for each model type or detection item. Waveform analysis can be realized simply by performing calculations only for the model, and the analysis location using various vibration waveforms can be covered by a vibration detection unit having a common specification. In other words, it can be applied to any agricultural machine other than unmanned rice mills, such as agricultural tractors, combines, rice transplanters, dryers, and rice hullers, which promotes mass production of vibration detectors and reduces costs. There is an advantage that down can be achieved.

  As a result of analyzing the vibration waveform of the vibration detection device, if the control unit determines that the state is abnormal, an abnormality alarm is output to the agricultural machine, or the flow rate is adjusted by controlling the on / off of the transport system. To do.

  However, in the vibration detection apparatus described in Patent Document 1, when the detection value of the vibration waveform exceeds a preset reference threshold value even once, it is determined as an abnormal state uniformly. For example, depending on individual differences of machines and operating conditions, it is determined that there is an abnormality even in the case of normal operation, or it is determined that the operation is normal even in the case of abnormal operation. There were many decisions. This is considered to be performed for normality / abnormality only with one threshold setting value.

Japanese Patent No. 3912230

  In view of the above problems, it is a technical object of the present invention to provide a monitoring device for a rotating machine that does not erroneously determine an operating state, an abnormality, or the like depending on individual differences or operating conditions.

In order to solve the above problems, the present invention analyzes a vibration waveform of a vibration obtained by electrically connecting to a vibration detector that detects vibration generated during operation of the huller , and the vibration waveform. Of a hulling machine provided with a control unit that predicts the current operating state of the hulling machine from the analysis result of the hulling machine and a future failure of the hulling machine , and a display unit that notifies the operator of the prediction result by the control unit an apparatus, wherein the control unit of the vibration waveform of the vibration obtained by the vibration detection unit, and the vibration waveform after hulling started, a predetermined time elapses from immediately after hulling initiated and vibration during hulling Only the two vibration waveforms of the waveform are divided in the time axis direction, respectively, and principal component analysis is performed to obtain an identification index DI value, and analysis processing is performed by a correlation extraction method in which the DI value is stratified into a preset hierarchy. Obtained by the analysis processing unit and the vibration detection unit. A vibration speed analysis processing unit that obtains an effective value of vibration speed from a vibration waveform of vibration and stratifies the effective value into a preset hierarchy, a diagnosis result obtained by analysis processing by the correlation extraction method, and the vibration speed analysis Comprehensive determination processing for performing comprehensive determination based on the diagnosis result obtained by the processing is performed, and the analysis processing by the correlation extraction method and the vibration velocity analysis processing are performed temporally prior to executing the comprehensive determination processing. A parallel processing unit that performs parallel processing so as to be processed simultaneously, and a plurality of the vibration detection units are provided, and an arbitrary measurement target is provided between the plurality of vibration detection units and the control unit The technical means of providing the switch for selecting the vibration detection part of this was taken.

According to a second aspect of the present invention , when acquiring vibration data of an arbitrary vibration detection unit to be measured, the selector of the switch is set to an arbitrary vibration detection unit to be measured. The display unit receives a determination result of the comprehensive determination process according to an arbitrary vibration detection unit to be measured, and can be visually displayed to the operator in a normal driving state. If it is normal, turn on the “green lamp” to indicate normality, and if there is a high possibility that an abnormality will occur, such as when it is almost time to replace consumables, turn on the “yellow lamp”. In the event of an emergency such as an alert display and an emergency stop due to the occurrence of an abnormality, it is set to display the emergency stop by turning on the "red lamp" Is.

According to the first aspect of the present invention, when vibration generated during operation of the hulling machine is detected from the vibration detecting unit and the vibration waveform is analyzed, first, of the vibration waveform, immediately after the start of hulling . the vibration waveform, and a predetermined time elapses from immediately after hulling start, and only two of the vibration waveform of the vibration waveform in the huller, obtains an identification index DI value by principal component analysis each divided in the time axis direction, the Analyzing by correlation extraction method that divides DI values into preset layers, secondly, calculating vibration velocity effective value from vibration waveform and stratifying the effective value into preset layer Third, because a comprehensive determination process is performed in which comprehensive determination is performed based on the diagnosis result obtained by the analysis process by the correlation extraction method and the diagnosis result obtained by the vibration speed analysis process, Once the standard threshold value as before Unlike to determine if the well exceeds the uniformly abnormal state, and that the determination accuracy is significantly improved. That is, in the analysis processing by the first correlation extraction method, for example, the layers are classified into four layers, and in the second vibration velocity analysis processing, for example, the layers are classified into four layers, while in the third comprehensive determination processing The threshold value is divided into a total of 16 threshold values of 4 rows × 4 columns. As a result, the normal / abnormal determination is made finely according to the individual differences of the aircraft and the operating conditions, and the erroneous determination can be reduced as much as possible.
Prior to executing the comprehensive determination process, the analysis process by the correlation extraction method and the vibration velocity analysis process are processed in parallel so as to be processed simultaneously in time, and a plurality of analysis processes are performed. Even if it exists, processing time can be shortened and it can speed up.
Note that a plurality of vibration detection units are provided, and a switch for selecting an arbitrary vibration detection unit to be measured is provided between the plurality of vibration detection units and the control unit. Therefore, it is possible to detect vibrations by model and to detect vibrations at each measurement location, and the vibration waveform can be analyzed by a common vibration detection unit, which can greatly reduce costs.

According to a second aspect of the present invention, when acquiring vibration data of an arbitrary vibration detection unit to be measured, the selector of the switch is set to the arbitrary vibration detection unit to be measured. The display unit receives a determination result of the comprehensive determination process corresponding to the arbitrary vibration detection unit to be measured, and can be visually displayed to an operator so that the display unit can be visually displayed. If it is normal, turn on the “green lamp” to display normality, and turn on the “yellow lamp” if there is a high possibility that an abnormality will occur, such as when it is almost time to replace consumable parts. In the event of an emergency such as a warning display, an emergency is approaching, and an emergency stop occurs, it is set to display an emergency stop by turning on the `` red lamp ''. 4 rows x 4 in comprehensive judgment processing Those which are classified into threshold of a total of 16 types, "normal", since the informing by dividing the total of three types of "attention" or "danger", it is possible to quickly recognize the state of the machine to the operator .

It is a schematic longitudinal cross-sectional view which shows the whole structure of a hulling machine. It is a back perspective view which shows the form of the drive part of a hulling machine. It is a block diagram which shows the whole structure of a vibration detection unit. It is a flowchart which analyzes a vibration of a target machine and performs failure determination / failure prediction diagnosis. It is a flowchart which shows the calculation process of DI value. It is a table | surface which shows the determination matrix of a correlation extraction method. It is a table | surface which shows the determination matrix of RMS vibration speed. It is a table | surface which shows a comprehensive determination matrix. It is a figure which shows an example of vibration data. It is an example which shows the power spectrum intensity | strength of the conventional vibration detection apparatus.

  First, the case where this invention is used for a hulling machine is demonstrated. FIG. 1 is a schematic longitudinal sectional view showing the overall configuration of the hulling machine, and FIG. 2 is a rear perspective view showing the form of the drive unit of the hulling machine.

  As shown in FIG. 1, the huller 1 rotates in a machine frame 2 with a first unrolling roll 3 rotatably supported by a first roll shaft 5 and a second roll shaft 6. The second detachment roll 4 that is attached to the first detachment roll 3 so as to be close to or away from the first detachment roll 3 is arranged to rotate inwardly at different speeds.

  In the upper part of the machine frame 2, a supply port 7 for supplying the grain to be removed is provided. Immediately below the supply port 7, there is a guide chute 9 for feeding the fallen grain from the vibratory feeder 8 whose grain flow rate can be adjusted between the first and second deflation rolls 3 and 4 with a predetermined inclination angle. Is provided. The guide chute 9 is configured so that its width is substantially equal to the widths of the first and second unrolling rolls 3 and 4. Then, if the straight line connecting the first roll shaft 5 and the second roll shaft 6 and the flight trajectory of the grain thrown out from the guide chute 9 intersect each other almost perpendicularly, the first and second removals will occur. When the grain is supplied to the rolls 3 and 4, the grain is hardly repelled and the posture is hardly disturbed, and the generation of crushed particles is suppressed.

As shown in FIG. 2, a first drive motor 10, which will be described later, is provided at the center of the machine casing 2, and a second drive motor 11 is provided on the left side surface of the machine casing 2. A first small-diameter pulley 16 is rotatably attached to the outer side of the first roll shaft 5, and a first large-diameter pulley 18 is rotatably attached to the outer side of the second roll shaft 6. ing. An endless belt is stretched over the first small-diameter pulley 16 and the first large-diameter pulley 18, the drive pulley 12 of the first drive motor 10, and an idler pulley 20 provided below the first drive motor 10. Thus, a first drive system is formed.
The endless belt 14 for the first drive system is provided on the belt abdominal surface so that the first small-diameter pulley 16 and the first large-diameter pulley 18 rotate inward with respect to each other. The belt is wound around the first large-diameter pulley 18 on the back surface of the belt, and the endless belt 14 is driven to rotate counterclockwise when viewed from the rear of the huller 1.

A second large-diameter pulley 17 is rotatably attached to the first roll shaft 5 on the inner side close to the first small-diameter pulley 16 (on the first derolling roll side). In addition, a second small-diameter pulley 19 is rotatably attached to the second roll shaft 6 on the inner side close to the first large-diameter pulley 18 (to the second release roll side). Furthermore, an endless belt 15 is stretched over the second large-diameter pulley 17, the second small-diameter pulley 19, the drive pulley 13 of the second drive motor 12, and the idler pulley 21 to form a second drive system. .
The endless belt 15 for the second drive system is disposed on the back surface of the belt so that the second large-diameter pulley 17 and the second small-diameter pulley 19 rotate inward with respect to each other. The second small-diameter pulley 19 is wound around the belt belly surface, and the endless belt 15 is driven to rotate clockwise as viewed from the rear of the huller.

  FIG. 3 is a block diagram showing the overall configuration of the vibration detection unit. Reference numeral 50 denotes a vibration detection unit, which is classified into various types of machines for a plurality of machines such as a rice mill, a rice mill, a stone remover, and a grain sorter installed in a facility such as a rice mill. A plurality of vibration detectors 51... Such as an acceleration sensor are provided so that vibration can be detected. In the case of the huller 1 shown in FIGS. 1 and 2, one vibration detector 51 is provided near the bearing of the first roll shaft 5, and the vibration detector 51 is provided near the bearing of the second roll shaft 6. Each one is preferably installed. The vibration detection unit 50 includes a switch 52 having a selector 52a for selecting an arbitrary vibration detection unit 51 to be measured from a plurality of vibration detection units 51, and an amplifier 53 for a detected signal. Then, a band pass filter 54 that extracts an arbitrary frequency band from the detected signal, an A / D converter 55, and a detection signal are input, and a failure determination unit 56b, a failure prediction diagnosis unit 56a, and a detection output result are calculated. And the main part is comprised including the control part 56 which consists of the calculating part 56c which makes comprehensive judgment. Furthermore, as a result of determination from the communication unit 57 that performs transmission and reception of information between the vibration detection unit 50 and the outside, the operation unit 59 that performs various settings of the vibration detection unit 50, and the control unit 56, the operation of the machine A display 58 for determining a state, an abnormality, etc., a USB interface 60 comprising a serial bus from which a USB memory can be inserted / removed, a storage unit 61 comprising a read / write memory, etc., and a calendar unit having a calendar function 62 is provided.

  FIG. 4 is a flowchart for performing failure determination / failure prediction diagnosis by analyzing vibration of the target machine. An explanation will be given by taking the hulling machine 1 of FIGS.

  In step 101, as the vibration waveform data of the hulling machine 1, arbitrary vibration data is acquired during the operation period from the start of the hulling machine 1 to the end of the hulling, and the vibration is analyzed to determine the failure and predict the failure. Will do.

  Next, after the vibration data is acquired in step 101, the processes in steps 102 and 103 provided in parallel are processed simultaneously in time.

Step 102 is an analysis process by a correlation extraction method. This is performed by performing principal component analysis on the acquired vibration waveform data based on the frequency spectrum intensity and calculating an identification index DI value. In this process, the entire acquired plurality of vibration waveform data can be seen from a bird's-eye view, and it is possible to predict whether or not a machine failure will occur in the near future based on the characteristics.
Step 103 is an RMS vibration speed analysis process in which analysis is performed in parallel with step 102. This is based on the general guidelines (ISO standards) on machine condition monitoring and diagnosis based on the effective value (RMS vibration speed) of the acquired vibration data. In this process, since the acquired vibration data is used without being processed, it is possible to immediately know whether or not the acquired vibration data exceeds the allowable value. In other words, it is possible to immediately know what state is in the allowable value at the present time, and it is possible to expect a quick result report.

  Step 104 is a DI value calculation step of calculating an identification index DI value for principal component analysis. This will be described with reference to FIG. FIG. 5 is a flowchart showing the DI value calculation process. Here, in step 101 of FIG. 4, a value immediately after the start of the machine start is sequentially obtained as the first measurement value, and a value several seconds after the start of the machine start is sequentially obtained as the second measurement value. That is, for the sake of convenience, the data acquired in the preceding first predetermined period is used as the first vibration data, and the data acquired in the second predetermined period that is different from the first predetermined period in the following is used as the second vibration data. .

  The DI value calculation process will be described with reference to FIG. In step 201, the acquired first vibration data and second vibration data are divided into T pieces of first divided vibration data and T pieces of second divided vibration data (division in the time axis direction). In step 202, each of the T first divided waveform data and the T second divided waveform data is Fourier-transformed to obtain T first frequency spectra and T second frequency spectra. In step 203, the strength of each of the T first frequency spectra is obtained for each of the divided frequency bands divided into P pieces, and the strength of each of the T second frequency spectra is set to P pieces. Obtained for each divided frequency band (division in the frequency axis direction). Here, the obtained strengths of the first frequency spectrum are respectively expressed as Xij (i = 1, 2, 3,... T, j = 1, 2, 3,... P), second. The intensity of the frequency spectrum is Yij (i = 1, 2, 3,... T, j = 1, 2, 3,... P).

  In step 204 of FIG. 5, a principal component score is obtained for each of T frequency spectra based on the strength Xij of the first frequency spectrum obtained for each divided frequency band. In step 205, a principal component score is obtained for each of T frequency spectra based on the strength Yij of the second frequency spectrum obtained for each divided frequency band. At this time, the principal component score can be obtained by the technical contents described in paragraphs 0035 to 0039 of the specification of Japanese Patent No. 3780299, for example. However, the calculation of the principal component score is well known in the field of statistical analysis, and can also be calculated by matrix expression in the principal component analysis.

  Next, in step 206 of FIG. 5, the principal component score obtained in step 204 (the principal component score obtained based on the strength Yij of the second frequency spectrum) is used as the principal component score obtained in step 205 ( The principal component score obtained based on the intensity Xij of the first frequency spectrum is compared. As a result, the DI value serving as an identification index can be calculated from the two principal component scores (step 207).

  Further, the analysis processing by the correlation extraction method will be described with reference to FIG. In step 105, the determination matrix for the correlation extraction method is set. Information of this setting is stored in advance in the determination parameter database 64 on the cloud 63 of FIG. The determination matrix of the correlation extraction method of the present embodiment is, for example, as shown in Table 1 of FIG. 6, and the vibration diagnosis result is “a”, “b”, “c” according to the DI value. , “D” is ranked into four categories. Note that this determination matrix is different for each type of machine and each monitored location.

  The RMS vibration velocity analysis process in step 103 of FIG. 4 starts with calculating the effective value of the vibration velocity (mm / s) in step 106. The vibration speed (mm / s) is the amount of variation per unit time (1 second), that is, knows how much the amplitude of the vibration waveform has changed in 1 second, and its effective value is the vibration level. This is an index representing (the magnitude of vibration). The effective value A rms of the vibration speed is calculated by the following equation 1.

つまり、エネルギーの大きさが変位、速度などの物理量の二乗に比例する場合、それらの物理量の変動の二乗平均値はパワーの大きさを表すことになる。そして、その平方根を取れば物理量と同じ単位となり、変動の実効値を表すのである。

That is, when the magnitude of energy is proportional to the square of physical quantities such as displacement and speed, the mean square value of the fluctuations in those physical quantities represents the magnitude of power. If the square root is taken, it becomes the same unit as the physical quantity and represents the effective value of the fluctuation.

  Next, in step 107, determination matrix setting based on RMS vibration speed is performed. Information of this setting is stored in advance in the vibration data database 65 on the cloud server 63 of FIG. The RMS vibration speed determination matrix of the present embodiment is, for example, as shown in Table 2 of FIG. 7, and the vibration diagnosis result is “A”, “B”, “C” according to the effective value of the vibration speed. ”And“ D ”. Note that this determination matrix is different for each type of machine and each monitored location.

  Then, after the processing in step 105 and step 107 is executed, comprehensive determination matrix setting is performed in step 108. Information on this setting is stored in advance in the determination parameter database 64 on the cloud server 63 of FIG. The overall determination matrix of the present embodiment is, for example, as shown in Table 3 of FIG. 8, and the horizontal axis is the rank of “A”, “B”, “C”, and “D” that are the RMS vibration speed determination results. The vertical axis is divided into ranks “a”, “b”, “c”, and “d”, which are determination results by the correlation extraction determination method. The places where the ranks intersect are 16 places of 4 rows × 4 columns in total, and the overall determination result of “normal”, “caution”, or “danger” is displayed at each place. Note that this comprehensive determination matrix is different for each type of machine and each monitored location.

  Further, in the display process of step 109, the determination result of the comprehensive determination matrix of step 108 is output so that it can be visually displayed on the display unit 58 of FIG. For example, when each part of the machine is in a normal operating state and is `` normal '', the `` green lamp '' is turned on to display normality, and the time for replacement of consumable parts such as machine bearings is approaching If there is a high possibility that an abnormality will occur, the `` yellow lamp '' will be lit and a warning will be displayed.In the event of an emergency such as an emergency stop due to the occurrence of an abnormality in the machine, If it is defined in advance to turn on the “red lamp” and display an emergency stop, the operator can quickly recognize it. The display process in step 109 is not limited to the green lamp, yellow lamp, or red lamp lighting display, and various abnormality notification means such as character information output display and voice information output display can be employed.

  After the display process in step 109, the routine proceeds to step 110, where it is determined whether or not the measurement is completed. If the predetermined measurement is completed, the process is terminated. If the measurement is continued, the process returns to step 101 and the measurement is repeated again.

  Hereinafter, the operation of the above configuration will be described. As described above, in the huller 1 shown in FIGS. 1 and 2, one vibration detector 51 is provided near the bearing of the first roll shaft 5, and the vibration detector 51 is provided near the bearing of the second roll shaft 6. Each is installed. Further, the calculation unit 56c of the control unit 56 shown in FIG. 3 is provided with a computer program for executing the diagnostic processing shown in FIG. The control unit 56 may have a configuration in which a plurality of devices are connected via a network instead of a single device. The computer program may be distributed and stored in these plural devices.

  The acquisition of vibration data shown in Step 101 of FIG. 4 is performed in the operation period from when the selector 52a of the switch 52 of the vibration detection unit 50 is set to No. 1 until the hulling machine 1 starts to operate. Any vibration data will be acquired. Specifically, if the selector 52a is set to No. 1, the vibration detection unit 51 acquires vibration data of the roll shaft 5, and raw data of vibration data as shown in FIG. 9A is obtained. Then, by passing through the amplifier 53 and the band pass filter 54, the vibration waveform shown in FIG.

  In FIG. 4, the analysis processing by the correlation extraction method in step 102 and the RMS vibration velocity analysis processing in step 103 are performed in parallel.

  In the analysis processing by the correlation extraction method in step 102, after acquiring the vibration data in step 101, the DI value is calculated along the flow of FIG. Here, the intensity of the frequency spectrum in step 203 is represented by the power spectrum intensity as shown in FIG. Furthermore, if the principal component score is calculated from such power spectrum intensity, a DI value is obtained (step 207). Next, in step 105, the vibration diagnosis results are ranked in four categories of “a”, “b”, “c”, and “d” according to the DI value by the determination matrix of the correlation extraction method.

  In the RMS vibration speed analysis process of step 103, after acquiring the vibration data of step 101, the effective value RMS of the vibration speed is obtained by the above-described equation 1 (step 106). Next, in step 107, the vibration diagnosis result is ranked according to four categories of “A”, “B”, “C”, and “D” according to the effective value of the vibration velocity by the RMS vibration velocity determination matrix. .

  Then, in step 108, a process of performing a comprehensive determination based on the vibration diagnosis result by the correlation extraction method obtained in step 105 and the vibration diagnosis result by the effective value of the vibration speed obtained in step 107. Do. Specifically, “A”, “B”, “C”, and “D” that are RMS vibration speed determination results on the horizontal axis, and “a” and “b” that are determination results based on the correlation extraction determination method on the vertical axis. , “C”, and “d” are divided into 16 patterns of 4 rows × 4 columns, and each pattern displays a comprehensive judgment result of “normal”, “caution”, or “danger”. .

  Thereafter, in step 109 described above, the determination result of the comprehensive determination matrix in step 108 is output to the display 59 so that it can be visually displayed.

  As described above, according to the present embodiment, when the vibration generated during the operation of the rotating machine is detected from the vibration detection unit, and the vibration waveform is analyzed, the vibration waveform is analyzed by principal component analysis to identify the identification index DI value. Analysis is performed by a correlation extraction method that divides the DI value into a preset hierarchy, obtains an effective value of the vibration speed from the vibration waveform, and stratifies the effective value into a preset hierarchy Since a comprehensive determination process is performed in which a comprehensive determination is performed based on the diagnosis result obtained by the analysis process by the correlation extraction method and the diagnosis result obtained by the vibration speed analysis process, Unlike the case where the abnormal condition is uniformly determined when the reference threshold value is exceeded even once, the determination accuracy is remarkably improved. In other words, the analysis process based on the correlation extraction method is divided into four layers, and the vibration speed analysis process is divided into four layers, while the comprehensive determination process is divided into 16 thresholds of 4 rows × 4 columns. . As a result, the normal / abnormal determination is made finely according to the individual differences of the aircraft and the operating conditions, and the erroneous determination can be reduced as much as possible.

  The present invention can be applied to a monitoring device for a rotating machine that detects a current operating state or abnormality of the rotating machine or predicts a future failure of the rotating machine.

DESCRIPTION OF SYMBOLS 1 Rice huller 2 Machine frame 3 Release roll 4 Release roll 5 1st roll shaft 6 2nd roll shaft 7 Supply port 8 Vibration feeder 9 Guide chute 10 Drive motor 11 Drive motor 12 Drive pulley 13 Drive pulley 14 Endless belt 15 Endless belt 16 Small diameter pulley 17 Second large diameter pulley 18 First large diameter pulley 19 Small diameter pulley 20 Idler pulley 21 Idler pulley 50 Vibration detection unit 51 Vibration detection unit 52 Switch 53 Amplifier 54 Bandpass filter 55 A / D converter 56 Control unit 57 Communication unit 58 Display unit 59 Operation unit 60 USB interface 61 Storage unit 62 Calendar unit 63 Cloud server 64 Determination parameter database 65 Vibration data database

Claims (2)

A vibration detecting section for detecting vibrations occurring during operation of the hulling machine, analyzes the vibration waveform of the vibration obtained by electrically connected to the said vibration detecting unit, from the analysis result of the vibration waveform of the hulling machine currently a control unit for predicting a future fault operating conditions and hulling machine, a monitoring device for hulling machine provided with a display unit for informing a prediction result by the control unit to the operator,
The controller is
Of the vibration waveform of the vibration obtained by the vibration detection unit, and the vibration waveform after hulling started, a predetermined time elapses from immediately after hulling start, and only two of the vibration waveform of the vibration waveform in the huller, An analysis processing unit that performs analysis processing by a correlation extraction method that divides each DI in the time axis direction and obtains an identification index DI value by performing principal component analysis, and divides the DI value into a preset hierarchy;
A vibration velocity analysis processing unit that obtains an effective value of vibration velocity from the vibration waveform of vibration obtained by the vibration detection unit, and stratifies the effective value into a preset hierarchy;
To execute a comprehensive determination process for performing a comprehensive determination based on a diagnosis result obtained by the analysis process by the correlation extraction method and a diagnosis result obtained by the vibration speed analysis process, and to execute the comprehensive determination process A parallel processing unit that performs parallel processing so that the analysis processing by the correlation extraction method and the vibration velocity analysis processing are processed simultaneously in time,
A plurality of the vibration detection units are provided, and a switch for selecting an arbitrary vibration detection unit to be measured is provided between the plurality of vibration detection units and the control unit. A unique hulling machine monitoring device. When acquiring the vibration data of the arbitrary vibration detection unit to be measured, it is performed by setting the selector of the switch to the arbitrary vibration detection unit to be measured, the display unit, When the normal operation state is normal so that the determination result of the comprehensive determination process according to the arbitrary vibration detection unit to be measured can be visually displayed to the operator, the “green lamp” is set. Lights up to indicate normality, and when there is a high possibility that an abnormality will occur, such as when it is almost time to replace consumable parts, the `` yellow lamp '' is lit to display a warning and the occurrence of the abnormality is imminent. The monitoring device for a hulling machine according to claim 1, wherein in the event of an emergency such as an emergency stop, the “red lamp” is lit to display an emergency stop.

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