JP4289282B2 - Partial discharge detection device for rotary machine and partial discharge remote monitoring system - Google Patents

Description

  The present invention relates to an apparatus and system for remotely monitoring a partial discharge of a stator winding without stopping the operation of a rotating machine.

The stator windings of the rotating machine are subject to insulation deterioration due to stress during operation. If this insulation deterioration is left unattended, an insulation breakdown accident will eventually occur. In order to prevent insulation breakdown accidents, techniques and devices for detecting insulation during diagnosis and detecting insulation during operation have been developed and applied. Advances in information technology (IT) have made it possible to use high-performance and inexpensive computers and high-speed and inexpensive communication networks, and partial discharge remote monitoring systems for rotating machines using these have been developed. In these partial discharge remote monitoring systems, a partial discharge pulse is measured by a partial discharge sensor, and the measured partial discharge pulse is transmitted to a central monitoring device via a public communication line. In the central monitoring device, the partial discharge intensity is calculated from the partial discharge pulse, the partial discharge intensity monitoring level is determined from the magnitude and rate of change of the partial discharge intensity, and if the monitoring level is high, the monitoring cycle is shortened for monitoring. . (For example, see Patent Document 1)
Other monitoring systems only indicate that partial discharges are monitored, and some specific monitoring methods are not indicated. (For example, see Patent Document 2)

A partial discharge sensor installed in the stator winding measures a partial discharge signal in a frequency band of about 5 to 50 MHz. In this frequency band, noise generated inside and outside the generator is measured by the partial discharge sensor as a high frequency pulse similar to the partial discharge. As a method for separating noise and partial discharge, there is a method using both pulse correlation between partial discharge sensors and pulse correlation between frequency bands. (For example, see Non-Patent Document 1)
The pulse correlation between the partial discharge sensors is a method in which the same pulse is measured by a plurality of sensors installed at different positions, and whether the partial discharge or noise is determined based on the correlation of the signal intensity detected by the sensors. A group of pulses detected by a plurality of sensors with substantially the same amplitude is defined as noise, and the other pulses are defined as partial discharge.
In the pulse correlation between frequency bands, the signal intensity in a plurality of frequency bands is measured by the same partial discharge sensor, and it is determined whether the partial discharge or noise is based on the correlation of the signal intensity in the plurality of frequency bands. It is considered that the high-frequency component of noise during propagation from the generation source to the partial discharge sensor is more attenuated than the lower frequency component. On the other hand, in the case of partial discharge, it is considered that the attenuation is not so great even in the high frequency band. For this reason, a group of pulses whose ratio of the high-frequency signal intensity to the low-frequency signal intensity is lower than a predetermined value is defined as noise, and the rest is defined as partial discharge.

As a partial discharge detection device that detects partial discharge pulses and measures the discharge intensity, a level switch, amplifier, band pass filter, peak detection circuit, and A / D memory are connected in series and passed through the band pass filter. There is a device that digitizes and measures the discharge intensity of pulse data at a frequency to be transmitted. (For example, see Patent Document 3)
The level switch adjusts the level of the input signal so that the amplifier does not saturate and the maximum digitized discharge intensity can be expressed using a predetermined number of bits effectively, regardless of whether the discharge intensity is high or low. To change. For example, when the discharge intensity is expressed by digitizing in the range of 0 to 255, the level switcher performs level switching so that the maximum pulse is in the range of 100 to 230.

JP2003-271234A. Japanese Patent Laid-Open No. 2003-43095. Japanese Patent Laid-Open No. 2002-71742. Kaneda et al., “Development of Insulation Diagnosis Device During Operation of Turbine Generators—Noise Reduction Technology Using the Pluse-by-Pluse Method”, 1996 IEEJ Power and Energy Division Conference, 1996, p. 854-855, 634.

In the conventional partial discharge remote monitoring system, only partial discharge intensity or pulse data is transmitted to the central monitoring device. When only the partial discharge intensity is transmitted, there is a possibility that the partial discharge intensity is erroneously monitored due to noise if noise separation is not properly performed. When only pulse data is transmitted, there is a problem that the amount of pulse data becomes enormous and it is difficult to shorten the monitoring cycle.
An object of the present invention is to shorten the monitoring cycle and improve the accuracy of partial discharge monitoring.

  A partial discharge detection device for a rotating machine according to the present invention detects a pulse including partial discharge and noise from an output of a partial discharge sensor for detecting partial discharge of the rotary machine, and is detected by the pulse detection circuit. An arithmetic unit that calculates a partial discharge intensity by removing noise from pulse data that is data obtained by measuring a pulse for a predetermined time, and stores the partial discharge intensity each time the arithmetic unit calculates the partial discharge intensity. The data storage unit performs communication between a data storage unit that stores pulse data and a remote monitoring device that remotely monitors the partial discharge of the rotating machine in a part of the total number of times of calculating the partial discharge intensity. And a communication module for transmitting the stored pulse data and partial discharge intensity.

  A partial discharge remote monitoring system for a rotating machine according to the present invention comprises a remote monitoring device for remotely monitoring a partial discharge of at least one rotating machine, and a partial discharge detecting device installed in the remotely monitored rotating machine, The partial discharge detection device is a pulse detection circuit that detects a pulse including partial discharge and noise from an output of a partial discharge sensor that detects partial discharge, and data obtained by measuring a pulse detected by the pulse detection circuit for a predetermined time. A calculation unit that calculates partial discharge intensity by removing noise from pulse data, and stores the partial discharge intensity every time the calculation unit calculates partial discharge intensity, and the calculation unit calculates the total number of times the partial discharge intensity is calculated. The communication between the data storage unit that stores pulse data and the remote monitoring device at a certain number of times, and the pulse data and partial discharge strength stored by the data storage unit The remote monitoring device includes a communication module that performs communication with the partial discharge detection device, and a partial discharge monitoring database that stores pulse data and partial discharge intensity. It is a feature.

  A partial discharge detection device for a rotating machine according to the present invention detects a pulse including partial discharge and noise from an output of a partial discharge sensor for detecting partial discharge of the rotary machine, and is detected by the pulse detection circuit. An arithmetic unit that calculates a partial discharge intensity by removing noise from pulse data that is data obtained by measuring a pulse for a predetermined time, and stores the partial discharge intensity each time the arithmetic unit calculates the partial discharge intensity. The data storage unit performs communication between a data storage unit that stores pulse data and a remote monitoring device that remotely monitors the partial discharge of the rotating machine in a part of the total number of times of calculating the partial discharge intensity. Is equipped with a communication module that transmits the stored pulse data and partial discharge intensity, so that the monitoring cycle can be shortened and the accuracy of partial discharge monitoring can be improved. Result is there.

  A partial discharge remote monitoring system for a rotating machine according to the present invention comprises a remote monitoring device for remotely monitoring a partial discharge of at least one rotating machine, and a partial discharge detecting device installed in the remotely monitored rotating machine, The partial discharge detection device is a pulse detection circuit that detects a pulse including partial discharge and noise from an output of a partial discharge sensor that detects partial discharge, and data obtained by measuring a pulse detected by the pulse detection circuit for a predetermined time. A calculation unit that calculates partial discharge intensity by removing noise from pulse data, and stores the partial discharge intensity every time the calculation unit calculates partial discharge intensity, and the calculation unit calculates the total number of times the partial discharge intensity is calculated. The communication between the data storage unit that stores pulse data and the remote monitoring device at a certain number of times, and the pulse data and partial discharge strength stored by the data storage unit The remote monitoring device includes a communication module that performs communication with the partial discharge detection device, and a partial discharge monitoring database that stores pulse data and partial discharge intensity. Since this is a characteristic, there are the effects that the monitoring cycle can be shortened and the accuracy of partial discharge monitoring can be improved.

Embodiment 1 FIG.
1 is a diagram for explaining the configuration of a partial discharge remote monitoring system for a rotating machine according to Embodiment 1 of the present invention. A partial discharge sensor 3 (not shown) provided in a stator of a turbine generator 2 which is a rotating machine installed in the power plant 1 exits from the sensor terminal block 3A to the outside of the rotating machine and is connected by a lead wire 3B. The partial discharge detector 4 is connected. There are three partial discharge sensors 3 so that partial discharges in the U, V, and W phases of the stator of the turbine generator 2 can be detected. The three partial discharge sensors 3 are connected to one partial discharge detection device 4.
The partial discharge detection device 4 includes a pulse detection circuit 4A that is hardware for processing a signal from the partial discharge sensor 3 to detect and store pulse data, and a pulse data detection unit 4B that controls the pulse detection circuit 4A. A calculation unit 4C that separates noise from pulse data and calculates partial discharge intensity, a data storage unit 4D that stores pulse data and discharge intensity, a communication module 4E that communicates with other devices, and a monitoring server 9 And a control unit 4F for processing commands and the like transmitted from, and controlling each process.

The pulse data is composed of two pulse amplitudes in the frequency band of several MHz width in the range of about 5 to 50 MHz and the generation time thereof. For example, the pulse detection circuit 4A has a configuration in which two partial discharge detection devices in Patent Document 3 are combined. The center frequency and frequency bandwidth of the two band pass filters are adjusted to optimum values for each rotating machine to be monitored. The peak value of the pulse is measured as follows. A detection threshold value is set, a pulse exceeding the detection threshold value is peak-held for a predetermined time, and the peak value during that time is digitized and stored in a memory. The range is switched according to the assumed discharge intensity so that pulses of different magnitudes can be processed with the same detection threshold.
The partial discharge detection device 4 has a two-CPU configuration of a CPU that executes the pulse data detection unit 4B and the like and a CPU that has a communication module 4E. The CPU having the communication module 4E can use a general-purpose personal computer or the like.

The partial discharge detection device 4 is connected to the local LAN 6 of the power plant 1. The local LAN 6 is connected to the Internet 7 via a firewall 5 that blocks unauthorized access from the outside. A monitoring server 9, which is a remote monitoring device in a remote monitoring center 8 that remotely centrally monitors a rotating machine of a large number of power plants 1, is connected to a local LAN 11 in the monitoring center 8, and the local LAN 11 is connected via a firewall 10. Connect to the Internet 7. A firewall may be installed between the partial discharge detection device 4 and the local LAN 6 or between the monitoring server 9 and the local LAN 11.
In FIG. 1, only one power plant 1 and one rotating machine 2 are shown. However, the power plant 1 may be any number of one or more, and if there are one or more rotating machines 2 in one place, how many. But you can.

The monitoring server 9 transmits data transmitted from a communication module 9A that communicates with a device in the local area LAN 11 or other devices via the Internet 7 and a partial discharge detection device 4 installed in a remote monitoring target rotating machine. Is stored for each rotating machine, a partial discharge monitoring database 9C stored as a database for easy reference by the data storing unit 9B, and data analysis for analyzing and monitoring data for each rotating machine A unit 9D, and an input / output unit 9E that presents information to the user of the monitoring server 9 and receives input from the user. In the data analysis unit 9D, management of customer information for each rotating machine, partial discharge trend monitoring using data stored in the partial discharge monitoring database 9C, noise removal condition analysis, partial discharge detailed analysis, abnormality determination, alarm transmission, etc. Realize the function. The data analysis unit 9D when performing the noise removal condition analysis is a noise removal verification unit.
The partial discharge monitoring database 9C may be one that cannot be efficiently searched as long as the partial discharge intensity and pulse data can be searched by designating the rotating machine and the date and time.

The operation will be described. The partial discharge remote monitoring system is roughly divided into a monitoring function and a control function. The monitoring function mainly includes a data measurement storage function implemented by the partial discharge detection device 4 and an abnormality monitoring function. The control function includes an individual measurement function for measuring partial discharge intensity at an arbitrary time point and a noise removal condition remote setting function for remotely setting a noise removal condition used by the partial discharge detection device 4 from the monitoring server 9. The partial discharge remote monitoring system may have other functions.
Flowcharts for explaining the operation of the partial discharge remote monitoring system with these functions are shown in FIGS. FIG. 2 shows the data measurement storage function, and FIG. 3 shows the abnormality monitoring function. FIG. 4 shows the individual measurement function, and FIG. 5 shows the noise removal condition remote setting function. In FIG. 2 to FIG. 5, the step that operates on the monitoring server 9 is expressed as S1OO. The step that operates in the partial discharge detection device 4 is expressed by S2XX and surrounded by a broken line. Further, the steps executed by the operator of the monitoring center 8 are expressed by a double frame. The flowcharts shown in FIG. 2 to FIG. 5 explain an example of the operation, and may be a flowchart that is another procedure as long as the same function can be realized.

  The data measurement and storage function operates according to the flowchart of FIG. 2 for each predetermined time interval. First, in step S201, it is checked whether it is a measurement time. If it is not the measurement time, the process is terminated. In the case of the measurement time, partial discharge intensity measurement is performed in step S202. In step S203, it is checked whether it is the storage time of the pulse data. If it is the storage time, the pulse data is stored in the storage area in step S204. In step S205, it is checked whether it is a data transmission time to the monitoring server 9. In the case of the transmission time, data measured after the previous data transmission is transmitted to the monitoring server 9 in step S206. In step S107, the data transmitted by the monitoring server 9 is accumulated and stored as a database that can be easily referenced. Note that the data storage in the monitoring server 9 is appropriately controlled so that data transmission from the plurality of partial discharge detection devices 4 is not performed simultaneously.

  Here, the partial discharge intensity is measured at intervals of 15 minutes such as 0 minutes, 15 minutes, 30 minutes, 45 minutes every hour. The pulse data is stored once in the measurement of the partial discharge intensity 16 times, that is, at an interval of 4 hours, and the pulse data is also stored in the measurement at 1:00, 5:00, 9:00, 13:00, 17:00 and 21:00. Then, after completion of the measurement at 1 o'clock every day, 96 discharge intensities and 6 pulse data at intervals of 15 minutes from 1:15 on the previous day to 1 o'clock on the previous day are transmitted to the monitoring server 9. After data transmission to the monitoring server 9, the measurement data is repeatedly overwritten. Even if the data transmission to the monitoring server 9 is not completed by the time of the next discharge intensity measurement, the assumed maximum time required for the data transmission so that the data is not overwritten and deleted before the data transmission to the monitoring server 9 A sufficient number of spare data areas are provided for the time.

The amount of pulse data measured for 10 seconds depends on the amount of noise, but may be about 2 GB when there is a lot of noise. In the first embodiment, a data amount of about 2 × 6 = 12 GB at maximum is transmitted per day. If the speed of the communication line is 20 Mbps (Mega bits per second), 12 GB can be transmitted in about 1 hour and 20 minutes. Depending on the congestion status of the communication line, it may take a longer time, but if the transmission starts at 1 am, the transmission is completed by morning. When the amount of data is smaller than 12 GB, it becomes shorter.
When pulse data is also stored every measurement at intervals of 15 minutes and the data stored once a day is transmitted to the monitoring server 9, the amount of data to be transmitted is approximately 2 × 96 = 192 GBytes. The time required to transmit 192 GB at 20 Mbps is 24 hours. This takes too much time, and it is impractical to measure 96 pulse data per day and transmit all of them.
The high-speed public communication line of ADSL can be used at low cost, and a constant connection of 20 Mbps or more can be used for 10,000 yen or less per month. ADSL is one example and is not limited to this, and any communication network may be used as long as a predetermined communication speed can be secured.

The measurement interval, that is, the monitoring cycle does not have to be 15 minutes, and it is not necessary to perform measurement at 0 minutes per hour. The data transmission cycle may not be every day, and the data transmission timing may be another timing other than 1 o'clock.
The interval for leaving the pulse data may not be 4 hours. Of the 10 times of measuring the partial discharge intensity, the time interval for leaving the pulse data does not have to be equal, such as leaving the pulse data at the first, fourth and seventh three times. Any method may be used as long as pulse data is stored at a part of the total number of times of measuring the partial discharge intensity and the data amount can be reduced to a necessary level. You may use together with the method of reducing the amount of data communications by compressing and transmitting data.
The period of data stored by the partial discharge detection device 4 may be equal to or longer than the maximum data transmission time assumed for the period of transmission to the monitoring server 9, and the data transmission time may be shorter than the period of measuring the partial discharge intensity. If guaranteed, there is no need for a spare data area. The partial discharge detection device 4 may store data for two days or more, and the data area of the oldest day may be overwritten.

The abnormality monitoring function is performed at a predetermined cycle for each rotating machine after data is transmitted from the partial discharge detector 4. First, in step S121, the operator performs trend monitoring on the discharge intensity in the partial discharge monitoring database 9C. In step S122, it is checked whether there is an abnormality in trend monitoring. The partial discharge intensity usually increases slowly, and the trend is when the discharge intensity is above the specified reference value, when it is below the reference value but suddenly increases, when the discharge intensity decreases above the error range, etc. It is judged as abnormal in monitoring.
If there is no abnormality in the trend monitoring, the process is terminated. If there is an abnormality in trend monitoring, noise removal condition analysis is performed in step S123. In step S124, it is checked whether noise removal is appropriate by noise removal condition analysis. Here, it is assumed that noise removal is performed by the same method as the pulse correlation between frequency bands in Non-Patent Document 1. This method is called a two-frequency correlation noise removal method. In the noise removal condition analysis, the pulse data is separated into noise and partial discharge in the same manner as in the partial discharge detection device 4, and the operator examines the phase distribution characteristics and the like for each to determine whether the noise can be removed correctly. The data analysis unit 9D displays the pulse phase distribution characteristics and the like to assist the operator in verifying whether or not noise removal is properly performed.

If the noise removal is inappropriate, the noise removal condition is set in step S125 so that the noise removal condition is appropriate. Then, noise is removed from the pulse data transmitted before the current abnormality monitoring under the noise removal condition newly set in step S126, and the discharge intensity is calculated. In step S127, trend monitoring is performed on the calculated discharge intensity. In trend monitoring after the noise removal condition change in step S128, it is checked whether there is an abnormality. If there is no abnormality, the process is terminated.
If the noise removal conditions are appropriate in step S124 and if there is an abnormality even if the noise removal conditions are changed appropriately in step S128, the customer who is the owner of the rotating machine (owner of the rotating machine) in step S129. Or contact the administrator) that there is an abnormality in the partial discharge of the rotating machine. In step S130, detailed analysis such as phase characteristic analysis is performed, and the result is presented to the customer as additional information. Depending on the situation, detailed analysis may not be performed. Moreover, the appropriate noise removal conditions calculated | required by step S125 are remotely set to the partial discharge detection apparatus 4 by a noise removal condition remote setting function.

  In the arbitrary measurement function, a command is transmitted to the partial discharge detection device 4 when the operator inputs an arbitrary measurement request in step S141. The partial discharge detection device 4 that has received the command performs partial discharge intensity measurement in step S242. Note that the processing in step S242 is the same as the processing in step S202. In step S243, the pulse data and partial discharge intensity measured this time are transmitted to the monitoring server 9. In step S144, the monitoring server 9 that has received the data stores the transmitted data in a predetermined data storage area.

In the noise removal condition remote setting function, condition input by the operator is performed in step S161. Then, it is determined whether or not to check whether the condition input in step S162 is appropriate. This is to prevent the same check from being performed again when it has already been confirmed that the noise removal condition is appropriate.
When checking whether or not the condition is appropriate, in step S163, it is verified whether or not the input condition is appropriate using the pulse data measured at the date and time designated by the operator. It is assumed that the default pulse data is the latest one or an abnormality is detected by trend monitoring. In step S164, it is checked whether the noise removal condition is appropriate. If not appropriate, the process returns to step S161. If appropriate, a command is transmitted to the partial discharge detection device 4 in step S165. In step S166, the noise removal condition transmitted by the partial discharge detection device 4 is set as a value to be used online.

FIG. 6 shows a flowchart for explaining the procedure for measuring the partial discharge intensity by the partial discharge detector 4. In step S301, the partial discharge sensor 3 of the phase to be inspected is connected to the pulse detection circuit 4A in the order of the U phase, the V phase, and the W phase. Steps S301 to S304 are repeated three times for the U phase, the V phase, and the W phase.
In step S302, measurement for range control is performed, the level of the level switch of the pulse detection circuit 4A is changed according to the intensity of the pulse detected by the partial discharge sensor, and the measurement range is automatically adjusted to the optimum range. To do. In automatic adjustment, measurement for one second is repeated until the optimum range is reached. In step S303, 10-second pulse data is measured. This is the main measurement. The measured pulse data is digitized and stored in a memory in the partial discharge detector 4. In step S304, noise is separated by the two-frequency correlation noise removal method, and a partial discharge intensity of 60 pps is output. Here, pps is an abbreviation for Pulse Per Second, and 60 pps is the size of the 60th pulse from the larger of the pulses in one second. At a commercial frequency of 60 Hz, 60 pps corresponds to the maximum pulse size in one cycle.
In step S305, it is checked whether measurement has been completed for all of the U phase, the V phase, and the W phase. If not completed, the process returns to step S301. If completed, the partial discharge intensity is stored in the storage area in step S306. Then, the process ends.
Although the processing has been described as the case with respect to one generator 2, the monitoring server 9 processes a plurality of generators 2 in order. Note that the monitoring server 9 may be configured to simultaneously process the plurality of generators 2 in parallel.

In this way, the partial discharge intensity is stored every time the partial discharge intensity is measured, and the pulse data is stored only a part of the total number of times of measuring the partial discharge intensity, so the partial discharge intensity is measured. Even if the period of the transmission is shortened, the amount of data transmitted to the remote monitoring device can be made a transmittable amount. As a result, since the pulse data can be used in the monitoring server 9 for remote monitoring, it is possible to check whether the noise removal is appropriate in the monitoring server 9, and the partial discharge intensity changes because the noise removal is inappropriate. It can be distinguished from the case where the partial discharge has actually progressed, and the accuracy of partial discharge monitoring can be improved.
Since the Internet is used, remote monitoring can be performed at low cost.
Since the discharge intensity can be measured not only at the regular measurement but also at an arbitrary time, the monitoring server 9 can acquire the current data when necessary.

  Although described in the case of monitoring the partial discharge of the generator, the partial discharge remote monitoring system can be applied to a rotating machine other than the generator such as an electric motor.

Although the partial discharge detection device 4 has a 2-CPU configuration, it may have a 1-CPU configuration. In the 1 CPU configuration, the pulse data detection unit 4B may be omitted, and the calculation unit 4C may control the pulse detection circuit 4A. Even in the case of a two-CPU configuration, the CPU functions are appropriately shared so that the cost required for hardware such as a CPU is minimized. Further, it is possible to reduce costs by making it possible to use general-purpose products as much as possible. Note that when the required performance is very high, a hardware configuration necessary for realizing the required performance is adopted.
Although the number of monitoring servers 9 is one, the monitoring servers 9 may be duplicated. Further, the plurality of monitoring servers 9 are always processed by dividing the target rotating machine so that all the monitoring servers 9 store the data from all the partial discharge detection devices 4, and any of the monitoring servers 9 cannot be used. When the state is reached, monitoring from another monitoring server 9 may be performed.

Although trend monitoring is performed by humans, the monitoring server 9 may automatically perform trend monitoring. When trend monitoring is automatically performed by the monitoring server 9, the following is performed. An abnormality detection item that is either a partial discharge intensity or a change width of the partial discharge intensity in a predetermined period for each rotating machine, and a predetermined reference value for each rotating machine that the measured value of each abnormality detection item is determined to be abnormal. The measured value is compared with the reference value, and an abnormality is determined when a predetermined condition for each abnormality detection item such that the measured value is equal to or greater than the reference value or exceeds the reference value is satisfied. When the measured value that is the change width is a negative value, the measured value may be set to a condition such that the measured value is less than or less than the reference value. There may be a plurality of predetermined periods in which the change width of the partial discharge intensity is compared with the reference value.
When it is determined that there is an abnormality, an alarm is automatically transmitted to a predetermined location determined for each rotating machine, such as a customer or an operator of a monitoring center. When it is important to avoid sending erroneous information to the customer, an alarm is sent to the operator, the operator performs trend monitoring, and the operator is contacted when the operator determines that an abnormality has occurred.
The automatic trend monitoring may be performed each time the latest partial discharge intensity is measured by the partial discharge detection device 4. When automatic trend monitoring is performed by the partial discharge detection device 4, an alarm is sent to the monitoring server 9 when an abnormality is detected.
If it does in this way, monitoring of partial discharge of a rotating machine can be performed automatically and efficiently.
The above also applies to other embodiments.

Embodiment 2. FIG.
The second embodiment is different from the first embodiment in that the partial discharge intensity calculated by the partial discharge detection device 4 is compared with a reference value, and an alarm is sent to the monitoring server 9 when the partial discharge intensity is equal to or higher than the reference value. It is a thing. The configuration of the remote monitoring system for the rotating machine is shown in FIG. Compared with FIG. 1 which is the case of the first embodiment, the partial discharge detection device 4 is different in that there is an abnormality detection unit 4G that detects an abnormality by monitoring the partial discharge intensity.

Next, the operation will be described. The operation is almost the same as in the first embodiment. FIG. 8 shows a flowchart for explaining the operation of the data measurement storage function of the partial discharge remote monitoring system in the second embodiment. Compared to FIG. 2 in the first embodiment, there are the following two points.
(1) As operations on the partial discharge detection device 4 side, steps S208 to S209, which are operations by the abnormality detection unit 4G, are added after the partial discharge measurement in step S202. In step S208, it is checked whether the partial discharge intensity is greater than or equal to a reference value in any of the U phase, the V phase, and the W phase. If it is equal to or greater than the reference value, the partial discharge intensity stored including the current measurement together with the alarm in step S209 and the pulse data used in the measurement of the current partial discharge intensity are transmitted to the monitoring server 9.
(2) As the operation of the monitoring server 9, steps S110 to S111 are added after step S107 for storing the data transmitted from the partial discharge detection device 4. In step S111, it is checked whether the stored data has an alarm. If an alarm is provided, the input / output unit 9E issues an alarm. When the alarm is generated, the operator performs the abnormality monitoring function process shown in FIG. 3 for the rotating machine where the alarm is generated.

Also in the second embodiment, the period for measuring the partial discharge intensity can be shortened and the accuracy of partial discharge monitoring can be improved.
Furthermore, when the partial discharge detection device 4 detects an abnormality, an alarm is automatically generated in the monitoring server 9, and monitoring by the operator can be started immediately after the abnormality is detected. Any alarm may be used as long as it reaches the operator of the monitoring center 8, such as voice, light, vibration, video, and a combination thereof. For example, during a time zone when the monitoring center 8 is unattended, such as at night, an alarm may be issued at a place where the operator is present, or mail or voice may be sent to a mobile phone carried by the operator. The mobile phone may be used when the operator is in the monitoring center 8.

  In addition, as a method for the partial discharge detection device 4 to detect an abnormality, not only the measured partial discharge intensity is not less than a reference value, but also the change width of the partial discharge intensity in a predetermined period is not less than a predetermined value. It is good. The predetermined value of the change width may be changed to the magnitude of the partial discharge intensity, or may be a different value by increasing and decreasing. A plurality of predetermined periods may be provided, and different predetermined values may be provided for each period. The partial discharge intensity is stored in the partial discharge detection device 4 for a predetermined period or longer so that the change in discharge intensity in the predetermined period can be detected by the partial discharge detection device 4.

Embodiment 3 FIG.
The third embodiment is a modification of the first embodiment so that the process of diagnosing the progress of insulation deterioration after the abnormality is detected by the monitoring server 9 and determining the necessity of insulation renewal are also implemented. FIG. 9 shows the configuration of the remote monitoring system for a rotating machine in the third embodiment. Compared to the case of the first embodiment, a portable partial discharge diagnostic device 12 is added. In FIG. 9, the lead wire 3B from the sensor terminal block 3A is branched and connected to the portable partial discharge diagnostic device 12. Further, another sensor may be temporarily installed and connected to the partial discharge diagnostic device 12.

Next, the operation will be described. Until the monitoring server 9 detects an abnormality, the operation is the same as in the first embodiment.
The process of diagnosing the progress of insulation deterioration and determining the necessity of insulation renewal is as follows. Note that the steps up to the second stage are also performed in the first embodiment or the second embodiment.
(1) First stage: Remote monitoring is performed in the same manner as described in the first or second embodiment, and a sign of insulation deterioration is determined. The sign determination is performed when the partial discharge intensity is determined to be higher by remote monitoring or when the partial discharge intensity does not reach the abnormal level but a large change is observed.
(2) Second stage: A noise removal condition analysis is performed on the monitoring server 9 to determine whether the obtained data is truly a partial discharge. The noise removal condition used in the partial discharge detection device 4 becomes inappropriate, and noise may be mistaken for partial discharge. The reason is that the noise characteristics have changed due to changes in operating conditions, changes in the state of peripheral accessories, and the like. If the noise removal condition is inappropriate by the noise removal condition analysis, the partial discharge intensity is measured by changing to an appropriate condition. If the noise removal condition is appropriate, or if the partial discharge intensity is abnormal even after appropriately changing the inappropriate condition, the process proceeds to the third stage. In other cases, remote monitoring is continued with no abnormality.

(3) Third stage: If determined to be abnormal, the customer is informed that there is an abnormality in the partial discharge of the rotating machine. And we recommend precision diagnosis. The precision diagnosis is performed by connecting a portable partial discharge diagnostic device 12 that can be accurately measured even during operation of the rotating machine to the rotating machine. In precision diagnosis, the insulation life of the stator coil is estimated. If the insulation life is determined to be cautionary, customers are recommended to perform an out-of-service test including immediate overhaul. FIG. 9 shows a state during the precise diagnosis in the third stage.
(4) Fourth stage: Insulation life is estimated by performing overhaul and in-service tests. In the outage test, various conventional tests such as a visual inspection inside the rotating machine, a partial discharge test, an insulation resistance test, a dielectric loss tangent test, and a direct current test are performed. Based on the results of these tests, the remaining insulation life is estimated and an insulation renewal plan is drawn up.

Also in the third embodiment, the period for measuring the partial discharge intensity can be shortened and the accuracy of partial discharge monitoring can be improved.
Furthermore, since the portable partial discharge diagnostic device 12 is provided, the remaining life of the stator coil can be estimated during operation, and the necessity of the in-stop test can be accurately determined. The out-of-service test can be performed, and the preventive maintenance cost can be reduced. In addition, since the test by the portable partial discharge diagnostic apparatus 12 is also performed only when necessary, the preventive maintenance cost is also reduced in this respect.

Embodiment 4 FIG.
The fourth embodiment is a modification of the first embodiment so that the same function as the monitoring server 9 can be performed in the power plant 1. FIG. 10 shows the configuration of a remote monitoring system for a rotating machine according to the fourth embodiment. Compared to the case of the second embodiment, a portable on-site monitoring server 13 is added in the power plant 1. The on-site monitoring server 13 has the same function as the monitoring server 9. FIG. 10 shows a state in which the on-site monitoring server 13 is connected to the partial discharge detection device 4.

Next, the operation will be described. The remote monitoring by the monitoring server 9 operates in the same manner as in the first embodiment.
The on-site monitoring server 13 is connected to the partial discharge detection device 4 to perform partial discharge monitoring in the following two cases. (1) When the partial discharge detector 4 is first installed in the rotating machine. (2) When the monitoring server 9 detects an abnormality and investigates the cause and measures for insulation renewal on site.
First, the operation in the case of (1) will be described. When the partial discharge detection device 4 is first installed in the rotating machine, an installation engineer goes to a power plant or the like to set measurement and monitoring conditions. In that case, it is necessary to adjust the partial discharge sensor 3 and the partial discharge detection apparatus 4 so that the signal of the partial discharge sensor 3 can be reliably measured in an operation state. An installation engineer connects the on-site monitoring server 13 to the partial discharge detection device 4 to perform measurement and data collection. Based on the collected data, the installation engineer determines the measurement conditions and noise removal conditions. When the optimum condition is found in this way, the condition is set in the partial discharge detection device 4, and thereafter remote monitoring is performed from the monitoring server 9 of the monitoring center 8.

  By using the on-site monitoring server 13, it is possible to perform condition adjustment and the like before the partial discharge detection device 4 is connected to the Internet 7. Even when it can be connected to the Internet, the same analysis as that performed by the monitoring server 9 can be performed on site, so that the work efficiency can be improved. When there is work that cannot be performed by other than the monitoring server 9 of the monitoring center 8, it is necessary to proceed with the communication between the installation technician on site and the engineer of the monitoring center 8, and the time required for the work due to the communication or the like Is much longer than when working on site alone.

  Next, the operation in the case of (2) will be described. When the precise diagnosis is performed in the third stage of the third embodiment, the partial discharge intensity is also measured in parallel with the precise diagnosis. If an abnormality is detected in the rotating machine, it is necessary to investigate the cause of the abnormality in order to prevent an insulation breakdown accident of the rotating machine. The cause investigation needs to be dealt with immediately in various situations, so it is handled at the place where the rotating machine such as a power plant is installed. In the work of investigating the cause, it is necessary to measure the partial discharge intensity and to perform analysis such as phase characteristic analysis, so the on-site monitoring server 13 that can perform the same operation as the monitoring server 9 is used at the site. By doing so, the work efficiency is remarkably improved. In addition, it is possible to share information with power plant engineers, to investigate the cause of abnormalities and to investigate countermeasures for renewing insulation, and to implement effective preventive maintenance.

In the fourth embodiment, the on-site monitoring server 13 is used. However, the partial discharge detection device 4 may have the same function as the monitoring server 9. Since the use of the portable on-site monitoring server 13 can be used by bringing the on-site monitoring server 13 to a necessary place, the number of on-site monitoring servers 13 required is smaller than that of the partial discharge detection device 4. In other words, the cost is lower than when the partial discharge detection device 4 has the same function as the monitoring server 9.
Although the on-site monitoring server 13 has the same function as the monitoring server 9, it may be inferior. If the communication module 9A and the partial discharge monitoring database 9C are provided and the noise removal condition analysis can be performed, it can be used when the partial discharge detection device 4 is first installed in the rotating machine, and the work efficiency can be improved. There is.

Embodiment 5 FIG.
Embodiment 5 is a diagram showing an example in which a plurality of generators having the same generator rated voltage, capacity, and structure are monitored using one partial discharge detection device 4. FIG. 11 shows the configuration of the remote monitoring system for a rotating machine in the fifth embodiment. FIG. 11 shows a case where remote monitoring is performed by installing partial discharge detectors 4 in three of the five power plants having five power generators having the same generator rated voltage, capacity, and structure. Measurement of partial discharge intensity and remote monitoring are performed in the same manner as in the third embodiment. A generator that has the same generator rated voltage, capacity, and structure is called a wingman.

  When operating multiple wingmen at the same power plant, the deterioration of the generator insulation often proceeds in the same way. When remote monitoring is performed with the configuration shown in FIG. 11, if an abnormality occurs in any of the three generators in which the partial discharge detection device 4 is installed, a wingman without the partial discharge detection device 4 installed. However, there is a high possibility that an abnormality will occur. If an abnormality occurs in any of the three generators in which the partial discharge detection device 4 is installed, even a wing machine that does not have the partial discharge detection device 4 performs precise measurement to confirm safety.

By doing in this way, there exists an effect that the partial discharge detection apparatus 4 used with a remote monitoring system can be decreased, and the dielectric breakdown accident of many generators can be prevented beforehand.
In the case of conducting a detailed inspection of the generator, the proportion of the portion proportional to the number of generators to be inspected in the total cost is not so large, and a detailed inspection of the generator in which the partial discharge detector 4 is not installed. Doing so does not add much cost. For this reason, the amount of reduction in device cost by reducing the number of partial discharge detection devices 4 is greater than the cost increase during precision inspection, leading to cost reduction.
Here, the partial discharge detectors 4 are not connected to some rotating machines at all, but the partial discharge monitors 3 of a plurality of rotating machines can be switched to be connected to one partial discharge detecting apparatus 4, and the partial discharge detectors 4 are sequentially connected. The discharge intensity may be monitored.

Embodiment 6 FIG.
The sixth embodiment is a case where the monitoring server 9 is installed in a premises where a rotating machine to be monitored such as a power plant is installed. FIG. 12 shows the configuration of the remote monitoring system for a rotating machine in the sixth embodiment. In FIG. 12, there is no firewall 5, internet 7, firewall 10, etc., and the monitoring server 9 is connected to the local area LAN 6. In the sixth embodiment, the monitoring server 9 is installed in the central operation room of the power plant.
The partial discharge intensity measurement and monitoring operations are the same as in the fourth embodiment.

Also in the sixth embodiment, the period for measuring the partial discharge intensity can be shortened and the accuracy of partial discharge monitoring can be improved.
Further, since remote monitoring can be performed without going through the Internet 7, there is no need for a firewall for ensuring security, and a remote monitoring system can be realized at low cost. In addition, there is an effect that it is possible to provide an effective tool set for constructing an equipment maintenance environment for an operator such as an electric power company or an independent power generation company (IPP) who wants to perform remote monitoring in its own maintenance department.
Here, it is assumed that it is installed in the central operation room of the power plant, but it may be located anywhere as long as security can be ensured on the premises of the location where the rotating machine is installed. If security is not required, the location may not be secured. In addition, when a dedicated communication line is used, the monitoring server 9 may be installed outside the site where the rotating machine is installed.

Embodiment 7 FIG.
In the seventh embodiment, the monitoring center 8 and each power plant 1 are connected by a dedicated communication line. FIG. 13 shows the configuration of the remote monitoring system for a rotating machine in the seventh embodiment. In FIG. 13, the firewall 5, the Internet 7, and the firewall 10 are not provided, and a dedicated communication line 14 is provided instead. The dedicated communication line 14 connects the local LAN 6 of the power plant 1 and the local LAN 11 of the monitoring center 8. The local LAN 6 of the power plant 1 and the local LAN 11 of the monitoring center 8 are installed completely separated from a public network such as the Internet 7.
The partial discharge intensity measurement and monitoring operations are the same as in the second embodiment.

Also in the seventh embodiment, the period for measuring the partial discharge intensity can be shortened and the accuracy of partial discharge monitoring can be improved.
Furthermore, since it is completely separated from the public network such as the Internet 7, a higher level of security can be secured. If a sufficiently strict firewall exists, the local LAN 6 of the power plant 1 or the local LAN 11 of the monitoring center 8 may be provided with a terminal connected to the Internet 7 via the firewall.

Embodiment 8 FIG.
Embodiment 8 is an embodiment showing a specific function sharing when the partial discharge detection device 4 is constituted by two CPUs. FIG. 14 shows the configuration of a remote monitoring system for a rotating machine according to the eighth embodiment. Compared to FIG. 1 in the first embodiment, only the internal configuration of the partial discharge detection device 4 is different. In the partial discharge detection device 4, a first CPU 4H that performs a function of a pulse data detection unit 4B that controls the pulse detection circuit 4A, a calculation unit 4C, a data storage unit 4D, a communication module 4E, and a control unit 4F that perform the function. 2CPU4J is added. The second CPU 4J uses a commercially available personal computer or the like. The first CPU 4H uses an inexpensive control CPU or the like.

Next, the operation will be described. The partial discharge intensity measurement and monitoring operations are the same as in the second embodiment. In FIG. 6, which is a flowchart for explaining the procedure for measuring the partial discharge intensity by the partial discharge detection device 4, the pulse detection circuit 4A is controlled by the measurement for range control in step S302 and the main measurement in step S303. Although the first CPU 4H performs, other control is performed by the second CPU 4J.
In the range control, the first CPU 4H and the second CPU 4J jointly operate as follows. The pulse data measured by the pulse detection circuit 4A is digitally converted by the first CPU 4H, sent to the second CPU 4J, and temporarily stored in a memory managed by the second CPU 4J. The second CPU 4J determines whether or not the signal intensity of the temporarily stored pulse data is within the optimum measurement range, and if not, sends a range change command to the first CPU 4H. The first CPU 4H controls the pulse detection circuit 4A so that the range is instructed by the received command. Such processing is repeated until the signal intensity of the temporarily stored pulse data enters the optimum measurement range.
When the measurement range is optimized, the main measurement in step S303 is performed, and the pulse data digitally converted by the first CPU 4H is temporarily stored in a memory managed by the second CPU 4J. Processing such as removing noise from the pulse data to determine the discharge intensity is performed by the second CPU 4J.

  By configuring in this way, the partial discharge detection device 4 can be configured using the first CPU 4H having an inexpensive low computing capability and the second CPU 4J using a general-purpose inexpensive personal computer having necessary and sufficient performance. This has the effect that a partial discharge remote system can be realized at low cost.

Embodiment 9 FIG.
The ninth embodiment is a case in which each power plant 1 can refer to the information held by the monitoring server 9 regarding the partial discharge monitoring of the generator of the own power plant. FIG. 15 shows a configuration of a remote monitoring system for a rotating machine according to the ninth embodiment. Compared with FIG. 7 in the second embodiment, the following two points are different.
(1) The monitoring server 9 includes a monitoring information editing unit 9F that edits information on the monitoring result of the generator to be remotely monitored and creates a page that can be referred to from the Internet. This page is called a monitoring information page. For the monitoring information page, necessary access restrictions are applied and security is also taken into consideration. The information displayed on this page is updated to the latest information at a predetermined cycle.
(2) The power plant 1 has a personal computer 15 having internet browsing software.
The partial discharge intensity measurement and monitoring operations are the same as in the second embodiment.

Also in the ninth embodiment, the period for measuring the partial discharge intensity can be shortened and the accuracy of partial discharge monitoring can be improved.
Furthermore, since the latest monitoring results can be referred to from the power plant 1, the operator grasps whether the insulation state of the rotating machine is an urgent measure, which is the most important concern for the company that owns the rotating machine. There is an effect that can be done. When the latest monitoring result cannot be referred from the power plant 1, when there is no communication from the monitoring center 8, there is no abnormality, so there is no abnormality, or the operator distinguishes whether the communication from the monitoring center 8 is delayed. Can not.

  Instead of the personal computer 15, the partial discharge detection device 4 may have an Internet browsing function so that the partial discharge detection device 4 refers to the monitoring information page. The monitoring information page may not be accessible from the Internet, and may be accessible only from a dedicated communication line connecting the power plant 1 and the monitoring server 9. Instead of creating a monitoring information page, the monitoring result is transmitted from the monitoring server 9 to each power plant 1 so that the transmitted monitoring result can be referred to by a predetermined device such as a terminal of each power plant 1. Good.

It is a figure explaining the structure of the partial discharge remote monitoring system of the rotary machine in Embodiment 1 of this invention. It is a flowchart explaining operation | movement of the data measurement preservation | save function of the partial discharge remote monitoring system in Embodiment 1 of this invention. It is a flowchart explaining operation | movement of the abnormality monitoring function of the partial discharge remote monitoring system in Embodiment 1 of this invention. It is a flowchart explaining operation | movement of the separate measurement function of the partial discharge remote monitoring system in Embodiment 1 of this invention. It is a flowchart explaining operation | movement of the noise removal condition remote setting function of the partial discharge remote monitoring system in Embodiment 1 of this invention. It is a flowchart explaining the procedure which measures the partial discharge intensity | strength by the partial discharge detection apparatus in Embodiment 1 of this invention. It is a figure explaining the structure of the partial discharge remote monitoring system of the rotary machine in Embodiment 2 of this invention. It is a flowchart explaining operation | movement of the data measurement preservation | save function of the partial discharge remote monitoring system in Embodiment 2 of this invention. It is a figure explaining the structure of the partial discharge remote monitoring system of the rotary machine in Embodiment 3 of this invention. It is a figure explaining the structure of the partial discharge remote monitoring system of the rotary machine in Embodiment 4 of this invention. It is a figure explaining the structure of the partial discharge remote monitoring system of the rotary machine in Embodiment 5 of this invention. It is a figure explaining the structure of the partial discharge remote monitoring system of the rotary machine in Embodiment 6 of this invention. It is a figure explaining the structure of the partial discharge remote monitoring system of the rotary machine in Embodiment 7 of this invention. It is a figure explaining the structure of the partial discharge remote monitoring system of the rotary machine in Embodiment 8 of this invention. It is a figure explaining the structure of the partial discharge remote monitoring system of the rotary machine in Embodiment 9 of this invention.

Explanation of symbols

1: Power plant 2: Turbine generator (rotary machine)
3: Partial discharge sensor 3A: Sensor terminal block 3B: Lead wire 4: Partial discharge detection device 4A: Pulse detection circuit 4B: Pulse data detection unit 4C: Calculation unit 4D: Data storage unit 4E: Communication module 4F: Control unit 4G: Abnormality detection unit 4H: first CPU (first computer)
4J: 2nd CPU (2nd computer)
5: Firewall 6: Local area LAN
7: Internet 8: Monitoring center 9: Monitoring server (remote monitoring device)
9A: Communication module 9B: Data storage unit 9C: Partial discharge monitoring database 9D: Data analysis unit (noise removal verification unit)
9E: Input / output unit 9F: Monitoring information editing unit 10: Firewall 11: Local area LAN
12: Partial discharge diagnosis device 13: Site monitoring server (site monitoring device)
14: Dedicated communication line 15: Personal computer

Claims (14)

A pulse detection circuit that detects a pulse including partial discharge and noise from an output of a partial discharge sensor that detects partial discharge of a rotating machine, and noise from pulse data that is data obtained by measuring pulses detected by the pulse detection circuit for a predetermined time. A partial discharge intensity by calculating the partial discharge intensity, and storing the partial discharge intensity every time the calculation part calculates the partial discharge intensity, and a part of the total number of times the calculation part calculates the partial discharge intensity Communication between the data storage unit that also stores the pulse data and the remote monitoring device that remotely monitors the partial discharge of the rotating machine, and transmits the pulse data and the partial discharge intensity stored by the data storage unit A partial discharge detection device for a rotating machine comprising a module. 2. The partial discharge of the rotating machine according to claim 1, comprising: a first computer that controls the pulse detection circuit; and a second computer that executes the arithmetic unit, the data storage unit, and the communication module. Detection device. The measurement range can be changed in the pulse detection circuit, the value of the measurement range of the pulse detection circuit is determined by the second computer, and the measurement range of the pulse detection circuit is set to the value determined by the second computer. The partial discharge detection device for a rotating machine according to claim 2, wherein one computer is changed. The data storage unit stores the partial discharge intensity for a predetermined period, and an abnormality is detected with respect to an abnormality detection item that is the latest partial discharge intensity or a difference between the partial discharge intensity at the previous point of time and the latest partial discharge intensity. A predetermined reference value preset for each detection item is compared with the value of the abnormality detection item to detect an abnormality according to a predetermined condition for each abnormality detection item, and when the abnormality is detected, an alarm is given to the remote monitoring device The partial discharge detection device for a rotating machine according to claim 1, further comprising an abnormality detection unit for transmission. 2. The partial discharge detection device for a rotary machine according to claim 1, wherein output signals of a plurality of partial discharge sensors installed in the plurality of rotary machines can be switched and inputted. A remote monitoring device for remotely monitoring a partial discharge of at least one rotating machine, and a partial discharge detecting device installed in the remotely monitored rotating machine, wherein the partial discharge detecting device detects a partial discharge. A pulse detection circuit that detects a pulse including partial discharge and noise from the output of the sensor, and calculates partial discharge intensity by removing noise from pulse data that is data obtained by measuring pulses detected by the pulse detection circuit for a predetermined time. Data storage that stores partial discharge intensity every time the calculation unit calculates partial discharge intensity, and also stores pulse data in some of the total number of times the calculation unit calculates partial discharge intensity And a communication module for transmitting the pulse data and partial discharge intensity stored by the data storage unit, and performing communication between the remote monitoring device and the remote monitoring device. But rotating machine partial discharge remote monitoring system, characterized in that it comprises a communication module for communication between the partial discharge detection device, and a partial discharge monitoring database for storing pulse data and partial discharge intensity. The said partial discharge detection apparatus has the 1st computer which controls the said pulse detection circuit, and the 2nd computer which performs the said calculating part, the said data storage part, and the said communication module, It is characterized by the above-mentioned. Partial discharge remote monitoring system of rotating machine. The measurement range can be changed in the pulse detection circuit, the value of the measurement range of the pulse detection circuit is determined by the second computer, and the measurement range of the pulse detection circuit is set to the value determined by the second computer. The partial discharge remote monitoring system for a rotating machine according to claim 7, wherein one computer is changed. The data storage unit stores the partial discharge intensity for a predetermined period, and an abnormality is detected with respect to an abnormality detection item that is the latest partial discharge intensity or a difference between the partial discharge intensity at the previous point of time and the latest partial discharge intensity. A predetermined reference value preset for each detection item is compared with the value of the abnormality detection item to detect an abnormality according to a predetermined condition for each abnormality detection item, and when the abnormality is detected, an alarm is given to the remote monitoring device The partial discharge remote monitoring system for a rotating machine according to claim 6, wherein the partial discharge detection device has an abnormality detection unit for transmission. A field monitoring device that monitors the rotating machine at the site where the rotating machine is installed, the communication module of the partial discharge detection device also communicates with the field monitoring device, and the condition that the arithmetic unit can change is set. The communication module that uses the field monitoring device to communicate with the partial discharge detection device, the partial discharge monitoring database that stores pulse data and partial discharge intensity, and the conditions used by the calculation unit are appropriate. The partial discharge remote monitoring system for a rotating machine according to claim 6, further comprising a noise removal verification unit that assists in verifying whether or not. The partial discharge remote monitoring system for a rotating machine according to claim 10, wherein the field monitoring device is portable. 7. A rotating machine part according to claim 6, further comprising a portable partial discharge diagnostic device, wherein the partial discharge diagnostic device is connected to a rotary machine that is determined to be abnormal by the remote monitoring device. Discharge remote monitoring system. Regarding the abnormality detection item for each rotating machine, which is either the partial discharge intensity or the change width of the partial discharge intensity in a predetermined period, a predetermined reference value preset for each abnormality detection item and the value of the abnormality detection item are The remote monitoring device has an abnormality detection unit that detects an abnormality based on a predetermined condition for each abnormality detection item and transmits an alarm to a predetermined location determined for each rotating machine when the abnormality is detected. The partial discharge remote monitoring system for a rotating machine according to claim 6. 7. The partial discharge of the rotating machine according to claim 6, wherein the remote monitoring device has a monitoring information creating unit for creating monitoring information of the rotating machine to be remotely monitored so that it can be referred from the premises of the rotating machine. Remote monitoring system.

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