JP2020012767A - Partial discharge diagnosis device, partial discharge diagnosis method, and partial discharge diagnosis system - Google Patents

Abstract

To provide a device, a method, and a system for diagnosing a partial discharge which can diagnose a partial discharge of an electric apparatus more easily.SOLUTION: A partial discharge diagnosing device according to an embodiment includes an electric signal acquisition unit, a pulse waveform generation unit, and a diagnosis result information generation unit. The electric signal acquisition unit acquires an electric signal generated by a discharge of the electric apparatus stored in a box. The pulse waveform generation unit generates a pulse waveform showing a partial discharge of the electric apparatus on the basis of an electric signal. The diagnosis result information generation unit generates diagnosis result information on the result of the diagnosis of the partial discharge generated in the electric apparatus on the basis of the pulse waveform.SELECTED DRAWING: Figure 1

Description

  An embodiment of the present invention relates to a partial discharge diagnosis device, a partial discharge diagnosis method, and a partial discharge diagnosis system.

  The conventional partial discharge diagnostic apparatus acquires parameters such as a discharge occurrence frequency n, a discharge charge amount q, and a discharge occurrence phase φ from a partial discharge signal detected by a detection unit such as a sensor. The partial discharge diagnosis device diagnoses partial discharge based on the obtained distribution of parameters. The user of the partial discharge diagnostic device can know, for example, whether or not partial discharge has occurred in the electric device or the state of insulation deterioration in the electric device by diagnosing the partial discharge. Further, the partial discharge diagnosis device calculates discharge energy by multiplying the discharge charge amount q by the discharge occurrence frequency n. The partial discharge diagnosis device diagnoses a partial discharge of an electric device based on the calculated magnitude or width of the discharge energy. However, a user of the conventional partial discharge diagnosis apparatus diagnoses partial discharge by reading a correlation between parameters from a distribution based on a plurality of parameters such as a φ-q distribution or a φ-q-n distribution. For this reason, the user of the device may be required to have a high level of knowledge and experience.

JP-A-6-34696 JP 2005-128699 A

  An object of the present invention is to provide a partial discharge diagnosis device, a partial discharge diagnosis method, and a partial discharge diagnosis system that can more easily diagnose a partial discharge of an electric device.

  The partial discharge diagnosis device according to the embodiment has an electric signal acquisition unit, a pulse waveform generation unit, and a diagnosis result information generation unit. The electric signal acquisition unit acquires an electric signal generated by discharging an electric device housed in the box. The pulse waveform generation unit generates a pulse waveform representing a partial discharge of the electric device based on the electric signal. The diagnosis result information generation unit generates diagnosis result information representing a diagnosis result of the partial discharge generated in the electric device based on the pulse waveform.

FIG. 2 is a schematic diagram (perspective view) showing a configuration for detecting a partial discharge from the inside of the stacked boxes using the partial discharge diagnostic device 100 of the first embodiment. FIG. 2 is a functional block diagram illustrating a functional configuration of the partial discharge diagnosis device 100 according to the first embodiment. FIG. 4 is a diagram illustrating a specific example of a change over time in the waveform of the partial discharge signal according to the first embodiment. FIG. 3 is a diagram illustrating a specific example of frequency characteristics included in a pulse waveform according to the first embodiment. 5 is a flowchart illustrating a specific example of a flow of processing for generating diagnosis result information based on the number of extreme values according to the first embodiment. 5 is a flowchart illustrating a specific example of a flow of processing for generating diagnosis result information based on frequency components according to the first embodiment. 5 is a flowchart illustrating a specific example of a flow of processing for generating diagnosis result information based on a pulse waveform according to the first embodiment. FIG. 3 is a system configuration diagram of a partial discharge diagnosis system 1 according to a second embodiment.

  Hereinafter, a partial discharge diagnosis device, a partial discharge diagnosis method, and a partial discharge diagnosis system according to an embodiment will be described with reference to the drawings.

(First embodiment)
FIG. 1 is a schematic diagram (perspective view) showing a configuration for detecting a partial discharge from the inside of a row of boxes using the partial discharge diagnostic device 100 of the first embodiment. The configuration shown in FIG. 1 is configured using n (n is an integer of 2 or more) boxed bodies 10a, 10b,. Hereinafter, when no distinction is made between the boxes, the case will be simply referred to as the box 10. These n boxes 10a, 10b,..., 10n are arranged substantially linearly. Each box 10 is composed of a frame and a component plate. Each of the boxes 10 is a box that can store an electric device such as a switchgear. Each of the boxes 10a, 10b,..., 10n houses an electric device such as a circuit breaker or a main circuit conductor. Further, these boxes 10a, 10b,..., 10n are provided with a power supply system for supplying electric power to electric devices.

  In the configuration shown in FIG. 1, the sensor 101 is fixed to the box 10a of the n boxes 10 so as to contact the front plate of the box 10a. The front plate is one of the component plates that constitute the box 10. The front plate may be configured as a door that can be opened and closed. Note that the sensor 101 may be provided in a state of semipermanent contact with the box 10a, or may be temporarily provided only while an inspector or the like performs an operation of determining the presence or absence of partial discharge from the box 10a. Alternatively, a form that contacts the box 10a may be used. In this way, the partial discharge diagnostic device 100 acquires a weak voltage signal that is an output from the sensor 101. Although one sensor 101 is provided in the box 10a in the configuration shown in FIG. 1, a plurality of sensors 101 may be provided in the box 10a.

  Note that a common ground bus 20 is provided below the boxes 10a, 10b,..., 10n. The ground bus 20 is connected to the ground pole 30. Each of the boxes 10a, 10b,..., 10n includes a front panel, a ceiling panel, a rear panel, a floor panel, and a side panel. These front plate, ceiling plate, back plate, floor plate, and side plate are collectively referred to as constituent plates constituting the box body 10. In the example shown in FIG. 1, the sensor 101 is fixed to the front plate in contact, but the sensor 101 may be fixed to any of the other component plates. The component plate is connected to the ground bus 20.

  FIG. 2 is a functional block diagram illustrating a functional configuration of the partial discharge diagnostic device 100 according to the first embodiment. The partial discharge diagnostic device 100 includes a sensor 101 and a partial discharge diagnostic device 102. The partial discharge diagnostic device 100 determines whether or not a partial discharge has occurred in an electric device based on the electric signal detected by the sensor 101.

  The sensor 101 is configured to include a metal electrode. The sensor 101 acquires an electric signal generated by partial discharge of an electric device. Partial discharge occurs due to a decrease in insulation performance of an insulator of an electric device. The electric signal generated by the partial discharge of the electric device represents a physical quantity such as a ground potential, an electromagnetic wave, a ground line current, vibration, or sound. The sensor 101 is connected to the partial discharge diagnostic device 102 via a signal line. The sensor 101 outputs the obtained electric signal to the partial discharge diagnostic device 102. The sensor 101 may be an antenna that detects an electromagnetic wave, or a high-frequency CT (Current Transformer) that detects a ground current.

  The partial discharge diagnosis device 102 is an information processing device such as a personal computer, a smartphone, or a tablet computer. Based on the electric signal received from the sensor 101, the partial discharge diagnosis device 102 diagnoses whether or not a partial discharge has occurred, the type of the partial discharge, or the state of deterioration of the electric device. The partial discharge diagnosis device 102 executes the partial discharge diagnosis program to control the communication unit 103, the input unit 104, the display unit 105, the sensor information storage unit 106, the diagnosis information storage unit 107, the waveform information storage unit 108, and the control unit 109. Functions as a device to be equipped.

  The communication unit 103 is a network interface. The communication unit 103 communicates with an external communication device via a network. The communication unit 103 may communicate using a communication method such as a wireless LAN (Local Area Network), a wired LAN, Bluetooth (registered trademark), or LTE (Long Term Evolution) (registered trademark). The external communication device may be an information processing device such as a personal computer or a server, or may be a cloud computing system.

  The input unit 104 is configured using input devices such as a touch panel, a mouse, and a keyboard. The input unit 104 may be an interface for connecting the input device to the partial discharge diagnostic device 102. In this case, the input unit 104 generates input data (for example, instruction information indicating an instruction to the partial discharge diagnostic device 102) from an input signal input by the input device, and inputs the generated data to the partial discharge diagnostic device 102.

  The display unit 105 is an output device such as a CRT (Cathode Ray Tube) display, a liquid crystal display, and an organic EL (Electro Luminescence) display. The display unit 105 may be an interface for connecting the output device to the partial discharge diagnostic device 102. In this case, the display unit 105 generates a video signal from the video data and outputs the video signal to a video output device connected thereto.

  The sensor information storage unit 106 is configured using a storage device such as a magnetic hard disk device or a semiconductor storage device. The sensor information storage unit 106 stores a plurality of pieces of sensor information. The sensor information includes at least the date and time when the electric signal was obtained and the physical quantity represented by the electric signal. When the partial discharge diagnostic device 100 includes a plurality of sensors 101, the sensor information may hold identification information of the sensors 101. The identification information may be any information as long as it can identify the sensor 101.

  The diagnostic information storage unit 107 is configured using a storage device such as a magnetic hard disk device or a semiconductor storage device. The diagnostic information storage unit 107 stores a plurality of diagnostic information. The diagnosis information is information in which the type of the partial discharge is associated with the determination information. The diagnostic information is stored in the diagnostic information storage unit 107 in advance. The type of partial discharge indicates the type of partial discharge that can occur in an electric device. Types of partial discharge include, for example, void discharge generated inside an insulator for electric equipment. The insulator may be a resin material such as epoxy, for example. An insulator covering an electric device may include air bubbles in a manufacturing process. Bubbles cause partial discharge with aging. The determination information is information used to determine whether or not the electric device has generated a partial discharge based on information obtained based on the shape of the pulse waveform. The determination information may be, for example, a threshold value of the number of extreme points included in the pulse waveform, or a frequency component of the pulse waveform when a partial discharge occurs. The determination information may be any information that is used to determine whether or not the electric device has generated a partial discharge based on information obtained from the pulse waveform. Note that the diagnosis information may include a deterioration state of the electric device. The degraded state indicates a state in which the performance of the electric device is degraded. The deterioration state may represent the remaining life of the electric device by years or the failure rate of the electric device every N years (N is a natural number). The deterioration state may indicate a remaining life or a failure rate for each specific part of the electric device.

  The waveform information storage unit 108 is configured using a storage device such as a magnetic hard disk device or a semiconductor storage device. The waveform information storage unit 108 stores a plurality of pieces of waveform information. The waveform information is information in which the deterioration state of the electric device is associated with shape information indicating the shape of the pulse waveform. The shape information represents the shape of the pulse waveform in the deteriorated state of the associated electric device. The waveform information is stored in the waveform information storage unit 108 in advance. Note that the waveform information may include the type of the partial discharge.

  The control unit 109 controls the operation of each unit of the partial discharge diagnostic device 102. The control unit 109 is executed by a device including a processor such as a CPU (Central Processing Unit) and a RAM (Random Access Memory). The control unit 109 functions as an electric signal acquisition unit 110, a filtering unit 111, a pulse waveform generation unit 112, a pulse waveform analysis unit 113, and a diagnosis result information generation unit 114 by executing the partial discharge diagnosis program.

  The electric signal acquisition unit 110 acquires an electric signal received from the sensor 101. The electric signal acquisition unit 110 acquires a physical quantity from the electric signal. The electric signal acquisition unit 110 generates sensor information including the date and time when the electric signal was acquired and the physical quantity detected by the sensor 101. The electric signal acquisition unit 110 records the generated sensor information in the sensor information storage unit 106. When the partial discharge diagnostic device 100 includes a plurality of sensors 101, the electric signal acquisition unit 110 generates sensor information including the date and time when the electric signal was acquired, the physical quantity detected by the sensor 101, and sensor identification information. .

  Filtering section 111 removes a noise component superimposed on the electric signal. The filtering unit 111 is, for example, a hand-pass filter that passes a frequency band including a partial discharge signal among the electric signals acquired by the sensor 101. As a result, the filtering unit 111 outputs the electric signal from which the noise has been removed to the pulse waveform generation unit 112.

  The pulse waveform generation unit 112 acquires an electric signal of 10 μs before and after including a pulse signal representing a partial discharge from the electric signal from which noise has been removed. The pulse waveform generator 112 generates a pulse waveform based on the obtained electric signal. Note that the pulse waveform generation unit 112 of the present embodiment is configured to acquire an electric signal of 10 μs before and after the pulse signal, but is not limited to 10 μs. The pulse waveform generation unit 112 may be any period as long as the electric signal is a period including a pulse signal. For example, the pulse waveform generation unit 112 may be configured to acquire an electric signal of 15 μs after the entirety including the pulse signal, or may be configured to acquire an electric signal of 5 μs before and after including the pulse signal. .

  The pulse waveform analysis unit 113 generates characteristic information of the pulse waveform by analyzing the generated pulse waveform. The feature information indicates a feature of the shape of the pulse waveform. The pulse waveform analyzer 113 may generate the feature information using any information as long as the information is obtained based on the pulse waveform. The pulse waveform analyzer 113 may generate the feature information using, for example, the following means.

(1) Count the number of extreme points of the pulse waveform The pulse waveform analysis unit 113 counts the number of extreme points included in the generated pulse waveform. The pulse waveform analyzer 113 generates feature information including the counted number. The pulse waveform analyzer 113 outputs the generated feature information to the diagnosis result information generator 114.

(2) Calculating the frequency component of the pulse waveform The pulse waveform analyzer 113 calculates the frequency component included in the generated pulse waveform. The pulse waveform analyzer 113 generates feature information including the calculated frequency component. The pulse waveform analyzer 113 outputs the generated feature information to the diagnosis result information generator 114. Note that the pulse waveform analyzer 113 calculates a frequency component using a known method. As a known method, any method such as a wavelet transform, a discrete wavelet transform, a Fourier transform, or a short-time Fourier transform may be used.

  The diagnosis result information generation unit 114 generates diagnosis result information based on the generated pulse waveform. The diagnosis result information indicates a diagnosis result of the partial discharge generated in the electric device housed in the box 10. The diagnosis result includes the type of the partial discharge or the deterioration state of the electric device. The diagnosis result may include information on whether or not a partial discharge has occurred in the electric device. The diagnosis result information generation unit 114 may generate the diagnosis result information using, for example, any of the following means.

(1) Generation Based on Waveform Information The diagnosis result information generation unit 114 generates diagnosis result information based on the shape of the generated pulse waveform and the shape information included in the waveform information. Specifically, the diagnosis result information generation unit 114 acquires the waveform information from the waveform information storage unit 108. The diagnosis result information generation unit 114 calculates the degree of correlation between the shape of the pulse waveform and the shape information included in the waveform information. The degree of correlation is a numerical value indicating the degree of correlation between the shapes of two waveforms. The degree of correlation may be represented by, for example, a percentage or may be represented by a range of a predetermined numerical value. A known method may be used for calculating the degree of correlation. When the calculated degree of correlation satisfies a predetermined condition, the diagnosis result information generation unit 114 generates diagnosis result information including the deterioration state of the electric device associated with the shape information. The predetermined condition may be, for example, a case where the degree of correlation is larger than a predetermined threshold. Note that when the correlation degree satisfies a predetermined condition in a plurality of pieces of waveform information, the diagnosis result information generation unit 114 may generate diagnosis result information including a deterioration state associated with the shape information having the largest correlation degree Alternatively, diagnosis result information including an average value of the deterioration state associated with each shape information may be generated.

(2) Generating based on feature information including the number of extreme points The diagnostic result information generating unit 114 generates diagnostic result information based on feature information including the number of extreme points included in the generated pulse waveform. Generate. Specifically, the diagnosis result information generation unit 114 acquires characteristic information from the pulse waveform analysis unit 113. The diagnosis result information generation unit 114 acquires diagnosis information from the diagnosis information storage unit 107. The diagnosis result information generation unit 114 determines whether or not the number of extreme points included in the feature information satisfies a predetermined condition. When the characteristic information satisfies a predetermined condition, the diagnosis result information generation unit 114 generates diagnosis result information including the type of the partial discharge associated with the determination information. When the diagnosis information includes the deterioration state of the electric device, the diagnosis result information generation unit 114 may generate the diagnosis result information including the deterioration state. The predetermined condition may be, for example, that the number of extreme points included in the feature information acquired from the pulse waveform analysis unit 113 is larger than the value of the determination information included in the diagnosis information. Note that when the number of extreme points satisfies a predetermined condition in the plurality of pieces of diagnostic information, the diagnostic result information generating unit 114 performs May be generated.

(3) Generating based on feature information including frequency components The diagnosis result information generation unit 114 generates diagnosis result information based on feature information including frequency components included in the generated pulse waveform. Specifically, the diagnosis result information generation unit 114 acquires characteristic information from the pulse waveform analysis unit 113. The diagnosis result information generation unit 114 acquires diagnosis information from the diagnosis information storage unit 107. The diagnosis result information generation unit 114 calculates the degree of correlation between the shape of the frequency component included in the feature information and the frequency component of the determination information included in the diagnosis information. A known method may be used for calculating the degree of correlation. When the calculated degree of correlation satisfies a predetermined condition, the diagnosis result information generation unit 114 generates diagnosis result information including the type of the partial discharge associated with the determination information. When the diagnosis information includes the deterioration state of the electric device, the diagnosis result information generation unit 114 may generate the diagnosis result information including the deterioration state. The predetermined condition may be, for example, a case where the degree of correlation is larger than a predetermined threshold. When the correlation degree satisfies a predetermined condition in the plurality of pieces of diagnosis information, the diagnosis result information generation unit 114 includes a diagnosis result including the type of partial discharge associated with the feature information including the frequency component having the largest correlation degree. Information may be generated.

  The diagnosis result information generation unit 114 may generate the diagnosis result information using one of the above-described units, or may generate the diagnosis result information using a plurality of units.

  FIG. 3 is a diagram illustrating a specific example of the aging of the waveform of the partial discharge signal according to the first embodiment. FIG. 3 shows a ground current signal obtained from an instrument transformer (6 kV-VT) to which a voltage twice the rated power is applied. The instrument transformer (6 kV-VT) is accelerated and degraded when a voltage twice as high as the rated power is applied, compared to when the rated power is applied. FIG. 3A shows a ground current signal acquired from an instrument transformer (6 kV-VT) to which a voltage twice the rated power for one year is applied. FIG. 3B shows a ground current signal obtained from an instrument transformer (6 kV-VT) to which a voltage twice the rated power for 10 years has been applied. FIG. 3B shows a ground current signal immediately before the occurrence of dielectric breakdown.

  FIG. 3A shows that two extreme points (minimum points) are superimposed and included in the pulse signal. FIG. 3B shows that three extreme points (minimum points) are included in the pulse signal in a superimposed manner. As described above, it can be seen that the pulse signal of the partial discharge includes, in addition to the pulse signal of the first wave, more extreme points superimposed on the pulse signal before the dielectric breakdown. As described above, the partial discharge generated inside the solid insulator as the electric equipment deteriorates includes more extreme points (minimum points or maximum points).

  FIG. 4 is a diagram illustrating a specific example of the frequency characteristics included in the pulse waveform according to the first embodiment. As shown in FIG. 3, when the pulse waveform includes a plurality of extreme points, a frequency component corresponding to the plurality of extreme points is included in addition to the frequency component obtained from the pulse signal of the first wave. The extreme points increase as the electrical equipment deteriorates. For this reason, it turns out that a frequency component increases with the deterioration of electric equipment. In the case of FIG. 4, the signal strength of the frequency band indicated by reference numeral 50 (for example, about 60 to 80 MHz) increases. Note that the contained frequency component differs depending on the type of the partial discharge generated in the electric device. Therefore, the portion indicated by reference numeral 50 has a different frequency band depending on the type of the partial discharge.

  FIG. 5 is a flowchart illustrating a specific example of a flow of processing for generating diagnosis result information based on the number of extreme values according to the first embodiment. The electric signal acquisition unit 110 acquires the electric signal received from the sensor 101 (Step S101). The filtering unit 111 removes a noise component superimposed on the electric signal (Step S102). The pulse waveform generation unit 112 acquires an electric signal of 10 μs before and after including a pulse signal representing a partial discharge from the electric signal from which noise has been removed. The pulse waveform generation unit 112 generates a pulse waveform based on the obtained electric signal (Step S103).

  The pulse waveform analysis unit 113 counts the number of extreme points (for example, minimum points) included in the generated pulse waveform (Step S104). The diagnosis result information generation unit 114 acquires diagnosis information from the diagnosis information storage unit 107 (Step S105). The diagnosis information is information in which the type of the partial discharge is associated with the determination information. The determination information includes a threshold for identifying whether or not a partial discharge has occurred. The diagnosis result information generation unit 114 determines whether the number of extreme points is greater than the value of the determination information included in the diagnosis information (Step S106).

  If the number of extreme points is larger than the value of the determination information included in the diagnosis information (step S106: YES), the diagnosis result information generation unit 114 determines that a partial discharge has occurred in the electric device (step S107). ). The diagnosis result information generation unit 114 generates diagnosis result information including the type of the partial discharge included in the diagnosis information (Step S108). When the value of the determination information included in the diagnosis information is equal to or smaller than the number of extreme points (step S106: NO), the diagnosis result information generation unit 114 determines that partial discharge has not occurred in the electric device (step S109). ). The diagnosis result information generation unit 114 generates diagnosis result information including information indicating that partial discharge has not occurred (step S110).

  FIG. 6 is a flowchart illustrating a specific example of the flow of processing for generating diagnosis result information based on frequency components according to the first embodiment. Steps S101 to S103 are the same as those in FIG. Steps S107 to S110 are the same as those in FIG.

  The pulse waveform analyzer 113 calculates a frequency component included in the generated pulse waveform (Step S201). The diagnosis result information generation unit 114 acquires diagnosis information from the diagnosis information storage unit 107 (Step S202). The diagnosis information is information in which the type of the partial discharge is associated with the determination information. The determination information includes a frequency component of the pulse waveform when the partial discharge occurs. The diagnosis result information generation unit 114 calculates the degree of correlation between the calculated frequency component and the frequency component included in the determination information (step S203). The diagnosis result information generation unit 114 determines whether the calculated degree of correlation is greater than a predetermined threshold (Step S204).

  When the calculated degree of correlation is larger than the predetermined threshold (step S204: YES), the diagnosis result information generation unit 114 executes steps S107 and S108. When the calculated degree of correlation is equal to or smaller than the predetermined threshold (step S204: NO), the diagnosis result information generation unit 114 executes steps S109 and S110.

  FIG. 7 is a flowchart illustrating a specific example of a flow of processing for generating diagnosis result information based on a pulse waveform according to the first embodiment. Steps S101 to S103 are the same as those in FIG. Steps S109 to S110 are the same as those in FIG.

  The diagnosis result information generation unit 114 acquires the waveform information from the waveform information storage unit 108 (Step S301). The diagnosis result information generation unit 114 calculates the degree of correlation between the shape of the pulse waveform and the shape information included in the waveform information (step S302). The diagnosis result information generation unit 114 determines whether the calculated degree of correlation is greater than a predetermined threshold (step S303).

  If the calculated degree of correlation is greater than a predetermined threshold (step S303: YES), the diagnosis result information generation unit 114 determines that a partial discharge has occurred in the electric device (step S304). The diagnosis result information generation unit 114 generates diagnosis result information including the deterioration state of the electric device included in the waveform information (step S305). When the calculated degree of correlation is equal to or smaller than the predetermined threshold (step S303: NO), the diagnosis result information generation unit 114 executes steps S109 and S110.

  In the partial discharge diagnostic device 100 configured as described above, the sensor 101 generates an electric signal according to a phenomenon caused by electric device discharge. The pulse waveform generator 112 generates a pulse waveform based on the electric signal. The pulse waveform analyzer 113 generates feature information including the number of extreme points or frequency components of the pulse waveform based on the shape of the pulse waveform. The diagnosis result information generation unit 114 generates diagnosis result information indicating a diagnosis result of the partial discharge generated in the electric device based on the characteristic information. The diagnosis result information includes the type of the partial discharge or the deterioration state of the electric device. The user of the partial discharge diagnosis device can more easily diagnose the partial discharge of the electric device by checking the diagnosis result information. Further, the diagnosis result information generation unit 114 calculates the degree of correlation between the pulse waveform and the shape information based on the generated pulse waveform and the shape information representing the shape of the pulse waveform included in the waveform information. The diagnosis result information generation unit 114 may generate diagnosis result information based on the degree of correlation. The user of the partial discharge diagnosis device can more easily diagnose the partial discharge of the electric device by checking the diagnosis result information. As described above, the partial discharge diagnosis device 100 diagnoses the partial discharge of the electric device based on the pulse waveform or the characteristic information obtained from the pulse waveform, so that the operator such as the inspector of the electric device can perform the conventional operation. Since there is no need to analyze a plurality of parameters such as the φ-qn pattern, it is easy to construct an algorithm for diagnosing the occurrence of partial discharge.

(Second embodiment)
Next, a partial discharge diagnosis device according to a second embodiment will be described. FIG. 8 is a system configuration diagram of the partial discharge diagnosis system 1 of the second embodiment. The partial discharge diagnosis system 1 includes a partial discharge diagnosis device 102a and a signal acquisition device 200. The partial discharge diagnostic device 102a and the signal acquisition device 200 are communicably connected to each other via a network 300. The network 300 may be constructed with any network. For example, the network 300 may be configured by the Internet.

  The partial discharge diagnostic device 102a differs from the partial discharge diagnostic device 102 in the first embodiment in that a control unit 109a is provided instead of the control unit 109 and the sensor 101 is not provided. The other points of the partial discharge diagnostic device 102a are the same as those of the partial discharge diagnostic device 102 in the first embodiment. Hereinafter, points different from the first embodiment will be described.

  The control unit 109a controls the operation of each unit of the partial discharge diagnostic device 102a. The control unit 109a is executed by a device including a processor such as a CPU and a RAM, for example. The control unit 109a functions as a filtering unit 111, a pulse waveform generation unit 112, a pulse waveform analysis unit 113, a diagnosis result information generation unit 114, and a sensor information acquisition unit 115 by executing the partial discharge diagnosis program.

  The sensor information acquisition unit 115 acquires the sensor information received from the signal acquisition device 200. The sensor information acquisition unit 115 records the acquired sensor information in the sensor information storage unit 106.

  The signal acquisition device 200 includes a sensor 201 and a signal acquisition device 202. The signal acquisition device 202 is an information processing device such as a personal computer, a smartphone, or a tablet computer. The signal acquisition device 202 generates sensor information based on the electric signal output from the sensor 201. The signal acquisition device 202 transmits the generated sensor information to the partial discharge diagnostic device 102a. The signal acquisition device 202 functions as a device including the communication unit 203 and the control unit 204 by executing the signal acquisition program.

  The sensor 201 includes a metal electrode. The sensor 201 acquires an electric signal generated by discharging the electric device. The electric signal generated by the discharge of the electric device represents a physical quantity such as a ground potential, an electromagnetic wave, a ground line current, vibration, or sound. The sensor 201 is connected to a signal acquisition device 202 via a signal line. The sensor 201 outputs the acquired electric signal to the signal acquisition device 202. The sensor 201 may be an antenna that detects an electromagnetic wave or a high-frequency CT that detects a ground current.

  The communication unit 203 is a network interface. The communication unit 203 communicates with an external communication device via a network. The communication unit 203 may communicate using a communication method such as a wireless LAN, a wired LAN, Bluetooth, or LTE. The external communication device may be an information processing device such as a personal computer or a server, or may be a cloud computing system.

  The control unit 204 controls the operation of each unit of the signal acquisition device 202. The control unit 204 is executed by a device including a processor such as a CPU and a RAM, for example. The control unit 204 functions as the electric signal acquisition unit 205 by executing the signal acquisition program.

  The electric signal acquisition unit 205 acquires the electric signal received from the sensor 201. The electric signal acquisition unit 205 acquires a physical quantity from the electric signal. The electric signal acquisition unit 205 generates sensor information including the date and time at which the electric signal was acquired and the physical quantity detected by the sensor 201. The electric signal acquisition unit 205 transmits the generated sensor information to the partial discharge diagnostic device 102a. When the signal acquiring device 200 includes a plurality of sensors 201, the electric signal acquiring unit 205 generates sensor information including the date and time when the electric signal was acquired, the physical quantity detected by the sensor 201, and the identification information of the sensor.

  In the partial discharge diagnosis system 1 configured as described above, the signal acquisition device 200 acquires an electric signal from an electric device at a place where the box 10 is installed. The signal acquisition device 200 generates sensor information based on the electric signal and transmits the sensor information to the partial discharge diagnosis device 102a. The partial discharge diagnostic device 102a acquires sensor information. The diagnosis result information generation unit 114 of the partial discharge diagnosis device 102a generates diagnosis result information based on a pulse waveform obtained from the acquired sensor information. Therefore, in the partial discharge diagnosis system 1, it is possible to manage the diagnosis result information and the sensor information in different places.

  When generating the characteristic information, the pulse waveform analyzer 113 may be configured to generate the characteristic information based on a plurality of pulse waveforms. For example, the pulse waveform generator 112 divides the electric signal in units of 2 μs. Here, 2 μs varies in accordance with the frequency of the commercial power supply, and may be any time that includes a pulse waveform for one cycle. The pulse waveform generator 112 generates a pulse waveform from the divided electric signal. The pulse waveform analyzer 113 superimposes the generated pulse waveforms. When superposing the pulse waveforms, the pulse waveform analysis unit 113 superimposes the pulse waveforms in accordance with the reference polarity. For example, if the reference polarity is a positive polarity and the pulse waveform analysis unit 113 obtains a negative pulse signal, the pulse waveform analysis unit 113 inverts and superposes the pulse signals. The pulse waveform analyzer 113 generates feature information based on the superposed pulse waveforms. By generating the characteristic information by superimposing a plurality of pulse waveforms in this manner, the partial discharge diagnosis device 100 can diagnose the partial discharge with higher accuracy.

  The pulse waveform analyzer 113 may be configured to include the absolute value of the amount of charge included in the pulse waveform in the feature information. Specifically, the pulse waveform analyzer 113 calculates the area of the generated pulse waveform. The area of the pulse waveform represents the absolute value of the charge amount. The pulse waveform analyzer 113 generates feature information including the absolute value of the charge amount. The diagnosis result information generation unit 114 generates diagnosis result information based on the feature information including the absolute value of the charge amount. The extreme points increase in the pulse waveform with the progress of the deterioration state of the electric device. For this reason, the absolute value of the charge amount increases with the progress of the deterioration state. When the characteristic information satisfies a predetermined condition, the diagnosis result information generation unit 114 generates diagnosis result information indicating that partial discharge has occurred. The diagnosis result information generation unit 114 may include the state of deterioration of the electric device or the type of partial discharge in the diagnosis result information according to the absolute value of the charge amount. In this case, the deterioration state of the electric device or the type of the partial discharge is stored in the partial discharge diagnostic device 102 in advance in association with the absolute value of the charge amount. When the absolute value of the charge amount does not satisfy the predetermined condition, the diagnosis result information generation unit 114 generates diagnosis result information indicating that partial discharge has not occurred. As described above, the partial discharge diagnosis device 100 can more easily diagnose the partial discharge of the electric device even when the absolute value of the charge amount is used.

  The diagnosis result information generation unit 114 may be configured to generate the diagnosis result information based on the amount of change in the characteristic information over time. Specifically, the diagnosis result information generation unit 114 calculates the amount of change in the characteristic information over time. For example, when the feature information is the number of extreme points, the diagnosis result information generation unit 114 calculates the amount of change in the number of extreme points over time. For example, when the characteristic information is a frequency component, the diagnosis result information generation unit 114 calculates a change amount of the signal intensity of the frequency component over time. The diagnosis result information generation unit 114 may calculate the amount of change every month or may calculate the amount of change every year. When the calculated change amount satisfies a predetermined condition, the diagnosis result information generation unit 114 generates diagnosis result information indicating that partial discharge has occurred. The diagnosis result information generation unit 114 may include the deterioration state of the electric device or the type of partial discharge in the diagnosis result information according to the amount of change. In this case, the deterioration state of the electric device or the type of partial discharge is stored in the partial discharge diagnostic device 102 in advance in association with the amount of change. When the calculated change amount does not satisfy the predetermined condition, the diagnosis result information generation unit 114 generates diagnosis result information indicating that partial discharge has not occurred. As described above, the diagnosis result information generation unit 114 generates the diagnosis result information based on the amount of change in the characteristic information with the passage of time, so that it is possible to more easily estimate the insulation deterioration state of the solid insulator. become.

  The partial discharge diagnostic device 100 may be configured as a plurality of devices. The partial discharge diagnosis device 100 may be configured by a cloud computing system.

  In each of the above embodiments, the electric signal acquisition unit 110, the filtering unit 111, the pulse waveform generation unit 112, the pulse waveform analysis unit 113, and the diagnosis result information generation unit 114 are assumed to be software function units. It may be a functional unit.

  According to at least one embodiment described above, the provision of the pulse waveform generation unit 112, the pulse waveform analysis unit 113, and the diagnosis result information generation unit 114 makes it possible to diagnose partial discharge of an electric device more easily.

  Although several embodiments of the present invention have been described, these embodiments are provided by way of example and are not intended to limit the scope of the invention. These embodiments can be implemented in other various forms, and various omissions, replacements, and changes can be made without departing from the spirit of the invention. These embodiments and their modifications are included in the scope and gist of the invention, and are also included in the invention described in the claims and equivalents thereof.

DESCRIPTION OF SYMBOLS 1 ... Partial discharge diagnostic system, 10 ... Box, 20 ... Ground bus, 30 ... Ground electrode, 100 ... Partial discharge diagnostic device, 101 ... Sensor, 102 ... Partial discharge diagnostic device, 103 ... Communication unit, 104 ... Input unit, 105 ... display unit, 106 ... sensor information storage unit, 107 ... diagnosis information storage unit, 108 ... waveform information storage unit, 109 ... control unit, 110 ... electric signal acquisition unit, 111 ... filtering unit, 112 ... pulse waveform generation unit, Reference numeral 113: pulse waveform analysis unit, 114: diagnosis result information generation unit, 102a: partial discharge diagnosis device, 109a: control unit, 115: sensor information acquisition unit, 200: signal acquisition device, 201: sensor, 202: signal acquisition device 203: communication unit, 204: control unit, 205: electric signal acquisition unit, 300: network

Claims (9)

An electric signal acquisition unit that acquires an electric signal generated by discharge of the electric device housed in the box,
A pulse waveform generator that generates a pulse waveform representing a partial discharge of the electric device based on the electric signal,
A diagnosis result information generation unit that generates diagnosis result information representing a diagnosis result of the partial discharge generated in the electric device based on the pulse waveform;
A partial discharge diagnostic device comprising: The apparatus further includes a pulse waveform analysis unit that generates feature information representing a feature of the shape of the pulse waveform based on the pulse waveform.
The diagnosis result information generation unit generates the diagnosis result information based on the characteristic information,
The partial discharge diagnostic device according to claim 1.   The partial discharge diagnosis apparatus according to claim 2, wherein the pulse waveform analysis unit generates feature information including the number of extreme points included in the pulse waveform.   The partial discharge diagnosis apparatus according to claim 2, wherein the pulse waveform analysis unit generates feature information including a frequency component included in the pulse waveform. Further provided is a diagnostic information storage unit that stores diagnostic information associated with the type of partial discharge and the determination information used to determine whether the electric device is emitting partial discharge,
The diagnostic result information generating unit, when the feature information and the diagnostic information satisfy a predetermined condition, generates the diagnostic result information including a type of partial discharge associated with the diagnostic information as a diagnostic result,
The partial discharge diagnostic device according to claim 2.   The partial discharge diagnosis device according to any one of claims 2 to 5, wherein the diagnosis result information generation unit generates the diagnosis result information based on a change amount of the characteristic information over time. The apparatus further includes a waveform information storage unit that stores the deterioration state of the electrical device and the shape information indicating the shape of the pulse waveform in association with each other,
The diagnosis result information generation unit, when the shape of the pulse waveform generated by the pulse waveform generation unit and the shape information stored in the waveform information storage unit satisfies a predetermined condition, the shape information as a diagnosis result Generating the diagnosis result information including the deterioration state of the electric device associated with
The partial discharge diagnostic device according to claim 1. Partial discharge diagnostic device, an electrical signal acquisition step of acquiring an electrical signal generated by the discharge of the electrical equipment housed in the box,
Partial discharge diagnostic device, a pulse waveform generating step of generating a pulse waveform representing the partial discharge of the electric device based on the electric signal,
A diagnosis result information generating step of generating diagnosis result information representing a diagnosis result of the partial discharge generated in the electric device based on the pulse waveform,
A partial discharge diagnosis method comprising: An electric signal acquisition unit that acquires an electric signal generated by discharge of the electric device housed in the box,
A pulse waveform generator that generates a pulse waveform representing a partial discharge of the electric device based on the electric signal,
A diagnosis result information generation unit that generates diagnosis result information representing a diagnosis result of the partial discharge generated in the electric device based on the pulse waveform;
A partial discharge diagnosis system comprising:

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