JP6489651B2 - Partial discharge measuring device, partial discharge measuring method, and program - Google Patents

Description

  The present invention relates to a partial discharge measuring device, a partial discharge measuring method, and a program.

  Conventionally, a method of evaluating the similarity of a measured signal to a partial discharge signal by using a neural network (Neural network) and determining the presence or absence of partial discharge is known (for example, Patent Document 1). .

JP-A-8-338856

  However, in the conventional method, sampling is not performed on the basis of a trigger signal that is determined and output based on the output condition, so that a detection signal such as low-frequency noise (Noise) that is not partial discharge is sampled. There was a case.

  Therefore, an object of the present invention is to provide a partial discharge measuring device, a partial discharge measuring method, and a program capable of sampling a partial discharge detection signal from an alternating current detection signal including low-frequency noise and the like.

In one embodiment of the present invention, a partial discharge measuring device for measuring a partial discharge generated in a power facility, measuring an alternating current flowing in the power facility, and using a voltage value based on the alternating current as a detection signal From the measurement unit to output, the phase of the alternating current measured by the measurement unit, and the charge obtained from the measured alternating current, the frequency of occurrence of the charge per unit time with respect to the phase A distribution data generation unit that generates distribution data indicating a distribution; and in the distribution data, the AC current has an output condition based on at least one of the phase, the charge, and the generation frequency corresponding to the partial discharge. If the condition is satisfied, a signal output unit that outputs a trigger signal, and the detection signal output from the measurement unit when the trigger signal is output from the signal output unit. And having a sampling part for performing pulling.

  It is possible to provide a partial discharge measuring device, a partial discharge measuring method, and a program capable of sampling a partial discharge detection signal from an alternating current detection signal including low-frequency noise and the like.

It is a block diagram explaining an example of the hardware constitutions of the partial discharge measuring device which concerns on one Embodiment of this invention. It is a flowchart explaining an example of the whole process by the partial discharge measuring device which concerns on one Embodiment of this invention. It is a figure explaining an example in case the distribution data which concern on one Embodiment of this invention are shown with a (phi) -QN distribution map. It is a φ-QN distribution diagram for explaining an example of the threshold value of the charge amount Q according to an embodiment of the present invention. It is a timing chart explaining an example of a trigger signal and sampling concerning one embodiment of the present invention. FIG. 10 is a φ-QN distribution diagram for explaining an example of an effect obtained by setting a threshold value of a charge amount Q according to an embodiment of the present invention. It is a wave form diagram explaining an example with respect to the low frequency noise in one Embodiment of this invention. It is a φ-QN distribution diagram explaining an example of setting of the range of phase φ according to an embodiment of the present invention and an example of the effect of the setting. It is a φ-QN distribution diagram explaining an example of the setting of the threshold value of the occurrence frequency N according to an embodiment of the present invention and an example of the effect of the setting. It is a φ-QN distribution diagram for explaining an example of setting of the threshold value of the charge amount Q and the range of the phase φ and an example of the effect of the setting according to an embodiment of the present invention. It is a φ-QN distribution diagram for explaining an example of setting of the threshold value of the charge amount Q and the occurrence frequency N according to an embodiment of the present invention and an example of the effect of the setting. FIG. 6 is a φ-QN distribution diagram for explaining an example of setting of a phase φ range and an occurrence frequency N threshold according to an embodiment of the present invention, and an example of an effect of the setting. It is a φ-QN distribution diagram illustrating an example of setting of the threshold value of the charge amount Q, the range of the phase φ, and the threshold value of the occurrence frequency N according to an embodiment of the present invention, and an example of the effect of the setting. FIG. 10 is a φ-QN distribution diagram illustrating an example of calculation, setting, and effect of setting of a threshold value of a charge amount Q by a setting unit according to an embodiment of the present invention. It is a block diagram explaining an example of the hardware constitutions of the partial discharge measuring device which has two measuring parts which concern on one Embodiment of this invention. It is a φ-QN distribution diagram for explaining an example of the threshold value of the charge amount Q in the case of a partial discharge measuring device having two measuring units according to an embodiment of the present invention.

  Hereinafter, the partial discharge measuring apparatus which measures the partial discharge which arises in the electric power equipment of this invention is demonstrated.

<Embodiment 1>
<Hardware configuration of partial discharge measuring device>
FIG. 1 is a block diagram illustrating an example of a hardware configuration of a partial discharge measuring apparatus according to an embodiment of the present invention.

  The partial discharge measuring apparatus 100 includes a sensor 100H1, an amplifier 100H2, a filter 100H3, a detection processing circuit 100H4, a φ-QN measurement board (Board) 100H5, and a waveform measurement board. 100H6, phase detection sensor 100H7, and phase signal processing circuit 100H8.

  The sensor 100H1 is an example of a measurement unit. Hereinafter, a case where the measurement unit is the sensor 100H1 will be described as an example.

  The sensor 100H1 is connected to a power facility such as a cable where partial discharge is measured.

  The power equipment is, for example, a cable, a connection box, and a GIS (Gas Insulated Switch). In the following description, a case where the power equipment is a cable will be described as an example.

  The sensor 100H1 includes a current sensor such as a high-frequency CT (Current Transformers), and the sensor 100H1 measures a high-voltage AC current that flows through a power facility such as a cable.

  The high-voltage alternating current is an alternating current having a voltage exceeding 600V, for example.

  The sensor 100H1 converts the measured current value of the alternating current into a voltage. The voltage value of the converted voltage is output to the amplifier 100H2 as the detection signal SIG1. The output terminal of the sensor 100H1 is connected to the input terminal of the amplifier 100H2.

  The amplifier 100H2 amplifies the detection signal SIG1 output from the sensor 100H1. The output terminal of the amplifier 100H2 is connected to the input terminal of the filter 100H3 and the input terminal of the waveform measurement board 100H6.

  The filter 100H3 is a band-pass filter. The filter 100H3 extracts a signal in a specific frequency band from the detection signal SIG1 amplified by the amplifier 100H2. The output terminal of the filter 100H3 is connected to the input terminal of the detection processing circuit 100H4.

  The detection processing circuit 100H4 performs detection processing. The detection process detects the presence or absence of each waveform included in the detection signal SIG1. The output terminal of the detection processing circuit 100H4 is connected to the input terminal of the φ-QN measurement board 100H5.

  The phase detection sensor 100H7 is attached to a power facility such as a cable. The phase detection sensor 100H7 detects a high voltage current or voltage flowing through the power equipment. The output terminal of the phase detection sensor 100H7 is connected to the input terminal of the phase signal processing circuit 100H8.

  The phase signal processing circuit 100H8 detects a zero-cross of the signal input from the phase detection sensor 100H7. The phase signal processing circuit 100H8 outputs the reference point to the φ-QN measurement board 100H5 and the waveform measurement board 100H6 based on the detected zero cross. The output terminal of the phase signal processing circuit 100H8 is connected to the input terminal of the φ-QN measurement board 100H5 and the input terminal of the waveform measurement board 100H6.

  The φ-QN measurement board 100H5 is an example of a distribution data generation unit. Hereinafter, a case where the distribution data generation unit is the φ-QN measurement board 100H5 will be described as an example.

  The φ-QN measurement board 100H5 is an example of a signal output unit. Hereinafter, a case where the signal output unit is the φ-QN measurement board 100H5 will be described as an example.

  The φ-QN measurement board 100H5 is an example of a setting unit. Hereinafter, a case where the setting unit is the φ-QN measurement board 100H5 will be described as an example.

  The φ-QN measurement board 100H5 includes an A / D (Analog / Digital) converter (Converter) 100H51, a memory (Memory) 100H52, and an MCU (Micro Controller Unit) 100H53.

  The φ-QN measurement board 100H5 is an electronic circuit board on which an FPGA (Field-Programmable Gate Array) or the like is mounted.

The φ-QN measurement board 100H5 generates distribution data based on the detection signal SIG1. The φ-QN measurement board 100H5 calculates a peak point, which is the maximum point of each waveform included in the detection signal SIG1, by digital filter processing. At this time, the φ-QN measurement board 100H5 calculates the phase φ at the peak point in the φ-QN measurement by using the phase reference point and the internal counter of the microprocessor MCUH531.
The φ-QN measurement board 100H5 outputs the trigger signal SIG2 to the waveform measurement board 100H6 based on the output conditions.

  The A / D converter 100H51 has an input terminal of the φ-QN measurement board 100H5. The A / D converter 100H51 A / D converts the detection signal SIG1. The output terminal of the A / D converter 100H51 is connected to the input terminal of the memory 100H52 and the input terminal of the MCU 100H53.

  The memory 100H52 stores various data and parameters used for the φ-QN measurement board 100H5. The output terminal of the memory 100H52 is connected to the input terminal of the MCU 100H53.

  The MCU 100H53 has a microprocessor MCUH531.

  The microprocessor MCUH531 controls each hardware included in the φ-QN measurement board 100H5.

  The output terminal of the φ-QN measurement board 100H5 is connected to the input terminal of the waveform measurement board 100H6.

  The waveform measurement board 100H6 is an example of a sampling unit. Hereinafter, a case where the sampling unit is the waveform measurement board 100H6 will be described as an example.

  The waveform measurement board 100H6 samples the detection signal SIG1 amplified by the amplifier 100H2. The waveform measurement board 100H6 performs sampling when the trigger signal SIG2 is output from the φ-QN measurement board 100H5. When the waveform measurement board 100H6 samples the waveform, the waveform measurement board 100H6 stores phase data when the waveform measurement board 100H6 performs sampling using the internal counter of the microprocessor MCUH631.

  The waveform measurement board 100H6 includes an A / D converter 100H61, a memory 100H62, and an MCU 100H63.

  The waveform measurement board 100H6 is an electronic circuit board on which an FPGA or the like is mounted.

  The A / D converter 100H61 has an input terminal of the waveform measurement board 100H6. The A / D converter 100H61 A / D converts the detection signal SIG1. The output terminal of the A / D converter 100H61 is connected to the input terminal of the memory 100H62 and the input terminal of the MCU 100H63.

  The memory 100H62 stores various data and parameters used for the waveform measurement board 100H6.

  The MCU 100H63 has a microprocessor MCUH631.

  The microprocessor MCUH631 controls each hardware included in the waveform measurement board 100H6.

  Output terminals of the φ-QN measurement board 100H5 and the waveform measurement board 100H6 are connected to an input terminal of an information processing apparatus such as a PC (Personal Computer) 101 or the like.

  The φ-QN measurement board 100H5 outputs the distribution data generated, for example, to the PC 101, and the PC 101 displays the distribution data in a φ-QN distribution map or the like. The φ-QN measurement board 100H5 inputs a setting value used for determining the output condition from the PC 101, for example.

  The waveform measurement board 100H6 outputs, for example, sampled data to the PC 101, and the PC 101 displays a waveform based on the sampled data.

  The hardware configuration of the partial discharge measuring device is not limited to the configuration shown in FIG. The hardware configuration of the partial discharge measurement device may include an oscilloscope and an analyzer (not shown) such as a spectrum analyzer.

<Overall processing by partial discharge measuring device>
FIG. 2 is a flowchart for explaining an example of the entire process by the partial discharge measuring apparatus according to the embodiment of the present invention.

  In step S0201, the sensor 100H1 performs processing for measuring an alternating current flowing through a power facility such as a cable and outputting the detection signal SIG1 to the φ-QN measurement board 100H5 and the waveform measurement board 100H6. The detection signal SIG1 is amplified by the amplifier 100H2. As for the detection signal SIG1, a signal in a specific frequency band is extracted by the filter 100H3. The detection signal SIG1 is subjected to detection processing by the detection processing circuit 100H4.

  In step S0202, the φ-QN measurement board 100H5 performs processing for generating distribution data based on the detection signal SIG1.

  In step S0203, the φ-QN measurement board 100H5 performs a process of outputting the generated distribution data to the PC 101.

  FIG. 3 is a diagram for explaining an example when the distribution data according to the embodiment of the present invention is shown in a φ-QN distribution diagram.

  The distribution data is, for example, data represented by a φ-QN distribution diagram. FIG. 3 is an example of a φ-QN distribution diagram showing distribution data. The horizontal axis of FIG. 3 is an axis indicating the applied high-voltage current flowing through the electric power facility measured by the phase detection sensor 100H7 or the voltage phase φ. The vertical axis in FIG. 3 is an axis indicating the applied high voltage current flowing through the power facility indicated by the horizontal axis, or the electric charge obtained by the voltage phase φ. The charge is indicated by a charge amount Q. The color of each point in FIG. 3 indicates the occurrence frequency N at which each charge obtained in the phase φ is generated per unit time. The occurrence frequency N is obtained by integrating the cases where charges having the same phase φ and the same charge amount Q are generated per unit time.

  The distribution data is output to the PC 101 in step S0203, and based on the output distribution data, the PC 101 displays the distribution data in the form of a φ-QN distribution map. Hereinafter, in the description, the charge of the detection signal output from the sensor 100H1 may be shown as a φ-QN distribution diagram.

  In step S0204, the φ-QN measurement board 100H5 performs a process of inputting, from the PC 101, a charge threshold value corresponding to partial discharge as a set value.

  When determining the output condition based on the threshold value of the charge amount Q, in step S0204, the φ-QN measurement board 100H5 performs a process of inputting the threshold value of the charge amount Q from the PC 101 as a set value. When determining the output condition based on the range of the phase φ, in step S0204, the φ-QN measurement board 100H5 performs a process of inputting the upper limit value and the lower limit value as set values from the PC 101. When the output condition is determined based on the occurrence frequency N threshold, in step S0204, the φ-QN measurement board 100H5 performs a process of inputting the occurrence frequency N threshold from the PC 101 as a set value.

  In step S0205, as in step S0201, the sensor 100H1 measures an alternating current flowing through a power facility such as a cable and outputs a detection signal SIG1 to the φ-QN measurement board 100H5 and the waveform measurement board 100H6. Do. In step S0205, the φ-QN measurement board 100H5 may perform a process of generating distribution data similarly to step S0202 based on the detection signal SIG1 output from the sensor 100H1.

  In step S0206, the φ-QN measurement board 100H5 determines whether the measured alternating current satisfies the output condition. The output condition is a condition for determining whether or not the φ-QN measurement board 100H5 outputs the trigger signal SIG2. When the output condition is satisfied, the φ-QN measurement board 100H5 outputs the trigger signal SIG2. In step S0206, if the φ-QN measurement board 100H5 determines that the output condition is satisfied (YES in step S0206), the process proceeds to step S0207. In step S0206, when the φ-QN measurement board 100H5 determines that the output condition is not satisfied (NO in step S0206), the process returns to step S0205.

  The φ-QN measurement board 100H5 determines whether or not the output condition is satisfied based on, for example, a threshold value of the charge amount Q input as a set value. Hereinafter, a case where determination as to whether or not the output condition is satisfied is performed based on the threshold value of the charge amount Q will be described as an example. The description will be given by taking the case of FIG. 3 as an example.

  FIG. 4 is a φ-QN distribution diagram for explaining an example of the threshold value of the charge amount Q according to the embodiment of the present invention.

  When determining whether or not the φ-QN measurement board 100H5 satisfies the output condition based on the threshold value of the charge amount Q, the φ-QN measurement board 100H5 uses the charge as a set value in step S0204. A process of inputting the threshold value QTh of the quantity Q is performed. The threshold value QTh of the charge amount Q is a value determined by the user based on, for example, a φ-QN distribution diagram displayed by the PC 101 in step S0203. The threshold value QTh of the charge amount Q is determined to be a value larger than the noise charge amount, for example, by the user.

  If the threshold value QTh of the charge amount Q is set in the case of FIG. 3, the threshold value QTh of the charge amount Q can be shown as in FIG. In the case of FIG. 4, in step S0206, the φ-QN measurement board 100H5 determines whether or not the output condition is satisfied depending on whether or not the charge is equal to or more than the threshold value QTh of the charge amount Q. In the case of FIG. 4, the charge equal to or greater than the threshold value QTh of the charge amount Q is a charge corresponding to the partial discharge. In FIG. 4, a charge equal to or greater than the threshold value QTh of the charge amount Q is a charge in a range illustrated by hatching.

  In the case of FIG. 4, in step S0206, the φ-QN measurement board 100H5 determines that the output condition is not satisfied when the charge is less than the threshold value QTh of the charge amount Q. When determining that the output condition is not satisfied, the sensor 100H1 measures the alternating current flowing in the power equipment such as a cable. Therefore, the processes in steps S0205 and S0206 are repeated until an alternating current that satisfies the output condition is measured.

  In step S0207, the φ-QN measurement board 100H5 outputs the trigger signal SIG2 to the waveform measurement board 100H6.

  In step S0208, the waveform measurement board 100H6 samples the detection signal SIG1 based on the trigger signal SIG2.

  FIG. 5 is a timing chart illustrating an example of a trigger signal and sampling according to an embodiment of the present invention.

  The detection signal SIG1 measured and output by the sensor 100H1 in step S0205 is, for example, the detection signal SIG1 illustrated in FIG. The detection signal SIG1 is processed by the filter 100H3 and the detection processing circuit 100H4, and becomes the detection signal SIG1A subjected to the filter processing and detection processing illustrated in FIG. In step S0206, the φ-QN measurement board 100H5 detects the peak point Pk1A of the detection signal SIG1A subjected to the filter processing and the detection processing, and determines whether or not the output condition is satisfied. The timing of the peak point Pk1A of the detection signal SIG1A subjected to the filter processing and the detection processing is set as a trigger timing T1A.

  If it is determined in step S0206 that the φ-QN measurement board 100H5 satisfies the output condition, in step S0207, the φ-QN measurement board 100H5 outputs the trigger signal SIG2. The trigger signal SIG2 is output based on the timing of the trigger timing T1A.

  When the trigger signal SIG2 is output in step S0207, the waveform measurement board 100H6 performs sampling in step S0208. The sampling in step S0208 is performed based on the timing at which the trigger signal SIG2 is output, for example. The trigger signal SIG2 is output, for example, at a trigger timing T1A shown in FIG. When the trigger signal SIG2 is output, the waveform measurement board 100H6 samples the detection signal SIG1.

  Hereinafter, a case where the waveform measurement board 100H6 performs sampling at the timing of the trigger timing T1A will be described as an example.

  When sampling at the trigger timing T1A, the waveform measurement board 100H6 samples the detection signal SIG1 at the pre-trigger processing time T2 that is a predetermined time before the trigger timing T1A. When sampling is performed based on the trigger timing T1A, the waveform measurement board 100H6 samples the detection signal SIG1 at the post-trigger processing time T3 that is a predetermined time after the trigger timing T1A. That is, the waveform measurement board 100H6 performs a process of sampling the detection signal SIG1 with respect to a time when the sampling range SIG3 becomes High. The sampling range SIG3 is a time that can be arbitrarily adjusted in advance by software or the like. A time during which the peak point Pk1 of the detection signal SIG1 is sufficiently included is set in the sampling range SIG3.

  The waveform measurement board 100H6 stores, for example, data of the detection signal SIG1 with respect to the trigger preprocessing time T2. Each time the sensor 100H1 outputs the detection signal SIG1, the waveform measurement board 100H6 overwrites the stored data with the data of the detection signal SIG1 to be updated. The data of the detection signal SIG1 is stored in, for example, the memory 100H62. That is, the waveform measurement board 100H6 stores the detection signal SIG1 for a predetermined time regardless of the output of the trigger signal SIG2. When the trigger signal SIG2 is not output, the waveform measurement board 100H6 deletes the oldest data and stores the detection signal SIG1 newly output from the sensor 100H1. When the trigger signal SIG2 is output, the waveform measurement board 100H6 performs sampling in step S0208 on the detection signal SIG1 of the trigger preprocessing time T2 and the trigger postprocessing time T3 stored before being deleted. In the case of FIG. 5, the waveform measurement board 100H6 samples the data of the detection signal SIG1 of the sampling data SA.

  In step S0209, the waveform measurement board 100H6 outputs the data of the sampled partial discharge detection signal SIG1. The data of the partial discharge detection signal SIG1 sampled in step S0208 is output to the PC 101, for example. The PC 101 displays the output detection signal data to the user in a waveform diagram or the like. The waveform measurement board 100H6 may output data of the partial discharge detection signal SIG1 to be sampled to the recording medium.

  Note that the timing at which the waveform measurement board 100H6 samples the partial discharge waveform data is not limited to the timing based on the trigger preprocessing time T2. The waveform measurement board 100H6 may detect the peak point Pk1 of the detection signal SIG1 and perform sampling at the detected timing. That is, the waveform measurement board 100H6 may adjust the sampling timing.

  As illustrated in FIG. 5, the peak point Pk1A of the detection signal SIG1A that has been subjected to the filter process and the detection process is different in timing from the peak point Pk1 of the detection signal SIG1 because the filter process and the detection process are performed. The difference in timing between the peak point Pk1A of the detection signal SIG1A subjected to the filtering process and the detection process and the peak point Pk1 of the detection signal SIG1 varies depending on the detection signal SIG1. Since the difference in timing between the peak point Pk1A of the detection signal SIG1A subjected to the filter processing and the detection processing and the peak point Pk1 of the detection signal SIG1 changes, the trigger timing T1A with respect to the timing of the peak point Pk1 of the detection signal SIG1 Changes depending on the detection signal SIG1. Since the trigger timing T1A changes with respect to the timing of the peak point Pk1 of the detection signal SIG1, the peak of the detection signal SIG1 is displayed in the displayed waveform diagram when the data sampled in step S0209 is displayed to the user by the PC 101. Sampling of the data of the detection signal SIG1 may be performed at a timing at which the point Pk1 is difficult to see for the user.

  In order to make it easier for the user to see the peak point Pk1 of the detection signal SIG1 in the waveform diagram, the waveform measurement board 100H6 detects the peak point Pk1 of the detection signal SIG1. Detection of the peak point Pk1 of the detection signal SIG1 can be detected by the waveform measurement board 100H6 determining the maximum value of the voltage value of the detection signal SIG1. In the case of FIG. 5, the waveform measurement board 100H6 samples the data of the detection signal SIG1 of the sampling data SB based on the detection of the peak point Pk1 of the detection signal SIG1.

  By detecting the peak point Pk1 of the detection signal SIG1, the waveform measurement board 100H6 samples the data of the detection signal SIG1 of the partial discharge in which the peak point Pk1 of the detection signal SIG1 is easy for the user to see when displayed on the PC 101 or the like. Can do.

  Detection of the peak point Pk1 of the detection signal SIG1 may be difficult when the detection signal SIG1 includes low frequency noise.

  Therefore, the waveform measurement board 100H6 performs digital filter processing on the detection signal SIG1 when the detection signal SIG1 includes low-frequency noise. The filter unit is, for example, a waveform measurement board 100H6. Hereinafter, a case where the filter unit is the waveform measurement board 100H6 will be described as an example. When the waveform measurement board 100H6 performs digital filter processing on the detection signal SIG1 output from the sensor 100H1, the waveform measurement board 100H6 performs digital filter processing in the frequency band performed by the filter 100H3. By the digital filter processing, the low frequency noise included in the detection signal SIG1 is attenuated. Since the low frequency noise is attenuated by the digital filter processing, the waveform measurement board 100H6 can easily detect the detection of the peak point Pk1 of the detection signal SIG1 by, for example, the waveform measurement board 100H6 obtaining the maximum value of the voltage value of the detection signal SIG1. can do. Therefore, the waveform measurement board 100H6 can sample the waveform data of the partial discharge that is easy for the user to see by performing the digital filter process. The digital filter processing is realized by mounting an FPGA or the like on the waveform measurement board 100H6 and processing by an electronic circuit such as an FPGA to be mounted.

  When the φ-Q-N measurement board 100H5 determines whether or not the output condition is satisfied depending on whether or not the charge Q is equal to or greater than the threshold value QTh of the charge amount Q, the waveform measurement board 100H6 displays low-frequency noise or the like. The partial discharge detection signal can be sampled from the alternating current detection signal.

  FIG. 6 is a φ-QN distribution diagram for explaining an example of the effect of setting the threshold value of the charge amount Q according to an embodiment of the present invention.

  FIG. 6A is a φ-QN distribution diagram illustrating an example of distribution data based on a noise detection signal when the sensor 100H1 measures noise and the sensor 100H1 outputs a noise detection signal. .

  When the sensor NIS 100 measures noise NIS generated in power equipment such as a cable, the noise NIS is illustrated in FIG. 6A in the φ-QN distribution diagram, for example. The noise NIS is, for example, so-called background noise. Background noise is noise that varies depending on the measurement location of power equipment such as cables, the frequency of alternating current to be measured, and the like. Background noise is noise that may occur in other power equipment, enter from the outside of a power equipment such as a cable, or may always exist, such as white noise.

  FIG. 6B is a φ-QN distribution diagram for explaining an example when the threshold value QTh of the charge amount Q is set. FIG. 6B is a φ-QN distribution diagram shown in FIG.

  In the case of the noise in FIG. 6A, the set value of the charge threshold value corresponding to the partial discharge in step S0204 is input, for example, as a threshold value QTh of the charge amount Q shown in FIG. The threshold value QTh of the charge amount Q is larger than the charge amount Q of the noise NIS.

  When the threshold value QTh of the charge amount Q is set as shown in FIG. 6B, in step S0206, the φ-QN measurement board 100H5 outputs depending on whether the charge is equal to or higher than the threshold value QTh of the charge amount Q. Judgment is made as to whether the condition is satisfied. That is, in the case of FIG. 6B, in step S0207, the φ-QN measurement board 100H5 outputs a trigger signal when the charge amount of the charge is equal to or greater than the threshold value QTh of the charge amount Q. In the case of FIG. 6B, in step S0207, the φ-Q-N measurement board 100H5 does not output a trigger signal when the noise NIS is a charge whose value is smaller than the threshold value QTh of the charge amount Q.

  FIG. 7 is a waveform diagram illustrating an example of the effect on low frequency noise in one embodiment of the present invention.

  FIG. 7A is a waveform diagram illustrating an example of setting the threshold value of the voltage value of the detection signal and sampling the partial discharge detection signal.

  The case shown in FIG. 7A is a case where the voltage value of the detection signal SIG1 output from the sensor 100H1 by partial discharge is estimated in advance when the detection signal of partial discharge is sampled. In the case of FIG. 7A, in the waveform measurement board 100H6, the estimated voltage value is set as a threshold value of the voltage value for sampling. When a threshold value is set in the waveform measurement board 100H6, the waveform measurement board 100H6 performs sampling when the detection signal SIG1 having a voltage value equal to or higher than the set threshold value is output. The case where the detection signal SIG1 having a voltage value equal to or higher than the set threshold is output is the case of the trigger generation point in the case of FIG. In the case of FIG. 7A, the waveform measurement board 100H6 performs sampling at the timing of the trigger generation point. For example, the waveform measurement board 100H6 stores waveform data from a predetermined time before the trigger generation timing, and outputs the waveform data stored before and after the trigger generation point.

  FIG. 7B is a waveform diagram illustrating an example of sampling a partial discharge detection signal including low-frequency noise by the method of FIG.

  FIG. 7B is an example of a case where a voltage value equal to or higher than a set threshold is output even when the discharge signal is not partial discharge, in the case of a partial discharge detection signal including low-frequency noise. Due to the low frequency noise, the voltage value may be a voltage value equal to or higher than a threshold value. When a voltage value equal to or higher than the set threshold value is output, the waveform measurement board 100H6 performs sampling at the trigger occurrence point even when the partial discharge is not performed. In the case of FIG. 7B, it is difficult for the waveform measurement board 100H6 to select and sample the timing at which the detection signal corresponding to the waveform of the partial discharge is output from a plurality of trigger generation points illustrated. Therefore, in the case of FIG. 7B, the waveform measurement board 100H6 may not be able to sample the partial discharge due to low frequency noise.

  In the measurement of partial discharge, the same method may be applied to a method of recording a waveform using an oscilloscope or other device for the purpose of waveform observation, or an A / D sampling board.

  When determining whether or not the output condition is satisfied based on whether the charge is equal to or greater than the threshold value QTh of the charge amount Q, the waveform measurement board 100H6 determines whether the charge is equal to or greater than the threshold value QTh of the charge amount Q by the threshold value QTh of the charge amount Q Sampling when the charge is Therefore, determining whether or not the output condition is satisfied based on whether or not the charge amount Q is equal to or greater than the threshold value QTh is based on the noise NIS charge shown in FIG. 6 and the low-frequency noise shown in FIG. Thus, the case where the waveform measurement board 100H6 performs sampling can be reduced. Therefore, the partial discharge measuring apparatus 100 can sample the partial discharge detection signal from the alternating current detection signal including low frequency noise and the like.

  The φ-QN measurement board 100H5 may determine whether or not the output condition is satisfied based on, for example, the range of the phase φ input to the set value. Hereinafter, a case where the determination of whether or not the output condition is satisfied is performed based on the range of the phase φ will be described as an example.

  FIG. 8 is a φ-QN distribution diagram for explaining an example of setting the range of phase φ and an example of the effect of the setting according to an embodiment of the present invention. Hereinafter, the case of the distribution data of FIG. 3 will be described as an example.

  The range of the phase φ is a range determined by setting an upper limit value and a lower limit value of the phase φ, for example.

  In step S0206, the φ-QN measurement board 100H5 determines whether or not the output condition is satisfied based on, for example, the lower limit value and the upper limit value of the phase φ input to the set value. When determining whether or not the φ-QN measurement board 100H5 satisfies the output condition of step S0206 based on the range of the phase φ, in step S0204, the φ-QN measurement board 100H5 performs partial discharge from the PC 101. A process of inputting the upper limit value and lower limit value of the corresponding phase φ as set values is performed. When the partial discharge occurs, the charge is displayed as a distribution concentrated in two places in the φ-QN distribution diagram as shown in FIG. FIG. 8 is a diagram showing a case where the electric charge is concentrated in two places due to partial discharge and a case where there is a noise signal invading from another noise source. As the range of the phase φ, the range of the phase φ where the partial discharge occurs is set.

  In the case of FIG. 8, in step S0206, the φ-QN measurement board 100H5 causes the phase φ of the alternating current of the detection signal SIG1 output from the sensor 100H1 to be greater than or equal to the set lower limit value and smaller than the upper limit value. If it is the phase of the value, it is determined that the output condition is satisfied (YES in step S0206). Accordingly, when the phase φ of the alternating current of the detection signal SIG1 output from the sensor 100H1 is a phase that is equal to or larger than the set lower limit value and smaller than the upper limit value, the φ-QN measurement board 100H5 triggers Processing for outputting the signal SIG2 in step S0207 is performed. In FIG. 8, the charge for outputting the trigger signal SIG2 in step S0207 is the charge in the range shown by the oblique lines.

  In the case of FIG. 8, the φ-QN measurement board 100H5 outputs the trigger signal SIG2 corresponding to the charge in the range of the phase φ corresponding to the partial discharge, so the waveform measurement board 100H6 has the phase corresponding to the partial discharge. Sampling processing is performed corresponding to charges in the range of φ. As shown in FIG. 8, when charges other than partial discharge are generated, the waveform measurement board 100H6 may perform processing for sampling charges other than partial discharge. In the case of FIG. 8, the waveform measurement board 100H6 performs the sampling process in step S0208 corresponding to the charges in the range of the phase φ corresponding to the partial discharge. Therefore, determining whether or not the output condition is satisfied depending on whether or not the charge is in the range of the phase φ corresponding to the partial discharge is to detect a detection signal such as noise that is a charge other than the partial discharge as a waveform measurement board 100H6. Can reduce the number of samples. Therefore, the partial discharge measuring apparatus 100 can sample the partial discharge detection signal from the detection signal of alternating current including noise and the like.

  The φ-QN measurement board 100H5 may determine whether or not the output condition is satisfied based on, for example, a threshold value of the occurrence frequency N input to the set value. Hereinafter, a case where the determination of whether or not the output condition is satisfied is performed based on the threshold value of the occurrence frequency N will be described as an example.

  FIG. 9 is a φ-QN distribution diagram illustrating an example of setting the threshold value of the occurrence frequency N according to an embodiment of the present invention and an example of the effect of the setting.

  When the φ-QN measurement board 100H5 determines whether or not the output condition is satisfied based on the threshold value of the occurrence frequency N, the φ-QN measurement board 100H5 generates the set value as a set value in step S0204. A process of inputting the threshold Nh of the frequency N is performed. The threshold value NTh of the occurrence frequency N is a value determined by the user based on, for example, a φ-QN distribution map displayed by the PC 101 in step S0203. The threshold value NTh of the occurrence frequency N is determined by the user, for example, to a value greater than the occurrence frequency N of noise charges. In the case of FIG. 9, the threshold NTh of occurrence frequency N is input as 30 pps (Pulse Per Second).

  In the case of FIG. 9, in step S0206, the φ-QN measurement board 100H5 determines whether or not the output condition is satisfied depending on whether or not the charge has the occurrence frequency N equal to or higher than the threshold value NTh of the occurrence frequency N. In the case of FIG. 9, the charge having the occurrence frequency N equal to or higher than the threshold value NTh of the occurrence frequency N is a charge corresponding to the partial discharge.

  In the case of FIG. 9, in step S0206, the φ-QN measurement board 100H5 has a case where the charge of the detection signal SIG1 output from the sensor 100H1 is a charge having an occurrence frequency N that is equal to or higher than a set occurrence frequency N threshold NTh. Then, it is determined that the output condition is satisfied (YES in step S0206). Therefore, when the charge of the detection signal SIG1 output from the sensor 100H1 is a charge having an occurrence frequency N that is equal to or higher than the threshold value NTh of the occurrence frequency N that is set, the φ-QN measurement board 100H5 outputs the trigger signal SIG2 in step S0207. Output. In FIG. 9, the charges for outputting the trigger signal SIG2 in step S0207 are indicated by broken lines.

  In the case of FIG. 9, the φ-QN measurement board 100H5 outputs the trigger signal SIG2 corresponding to the occurrence frequency charge corresponding to the partial discharge. Therefore, the waveform measurement board 100H6 has the occurrence frequency corresponding to the partial discharge. Sampling is performed according to the electric charge. As shown in FIG. 9, when charges other than partial discharge are generated, the waveform measurement board 100H6 may sample charges other than partial discharge. In the case of FIG. 9, the waveform measurement board 100H6 performs sampling in step S0208 in response to the occurrence frequency charge corresponding to the partial discharge. Therefore, determining whether or not the output condition is satisfied depending on whether or not the charge is generated with a frequency corresponding to the partial discharge means that the waveform measurement board 100H6 samples the noise other than the partial discharge. You can reduce the number of cases. Therefore, the partial discharge measuring apparatus 100 can sample a partial discharge detection signal even with an alternating current detection signal including noise or the like.

  The output condition may be a condition in which a threshold value for the charge amount Q, a range of the phase φ, and a threshold value for the occurrence frequency N are used in combination.

  FIG. 10 is a φ-QN distribution diagram illustrating an example of setting the threshold value of the charge amount Q and the range of the phase φ and an example of the effect of the setting according to an embodiment of the present invention.

  In the case of FIG. 10, as in FIG. 6, in step S0204, the threshold value QTh of the charge amount Q is input as the set value. Further, in the case of FIG. 10, as in FIG. 8, in step S0204, an upper limit value and a lower limit value for setting the range of the phase φ are input as the set value.

  In the case of FIG. 10, in step S0206, the φ-QN measurement board 100H5 determines whether or not the output condition is satisfied depending on whether or not the charge is equal to or greater than the threshold value QTh of the charge amount Q. Further, in the case of FIG. 10, in step S0206, the φ-QN measurement board 100H5 determines that the phase φ of the alternating current of the detection signal SIG1 output from the sensor 100H1 is greater than or equal to the lower limit value and the upper limit value. It is determined whether or not the output condition is satisfied depending on whether or not the phase is a small value. In the case of FIG. 10, the φ-Q-N measurement board 100H5 determines that the output condition is satisfied when both of the condition relating to the charge amount Q and the condition relating to the phase φ are satisfied (in step S0206). YES).

  In FIG. 10, the charge that outputs the trigger signal SIG2 in step S0207 is the charge in the range shown by the oblique lines.

  In the case of FIG. 10, the φ-QN measurement board 100H5 outputs the trigger signal SIG2 when both the condition relating to the charge amount Q and the condition relating to the phase φ are satisfied. 100H6 performs sampling when both of the condition relating to the charge amount Q and the condition relating to the phase φ are satisfied. In the case of FIG. 10, the waveform measurement board 100H6 can accurately sample the partial discharge detection signal based on the output condition in which either the charge amount Q or the phase φ is used alone.

  The output condition may be a condition in which a threshold value for the charge amount Q and a threshold value for the occurrence frequency N are used in combination.

  FIG. 11 is a φ-QN distribution diagram for explaining an example of setting of the threshold value of the charge amount Q and the threshold value of the occurrence frequency N according to an embodiment of the present invention, and an example of the effect of the setting.

  In the case of FIG. 11, as in the case of FIG. 6, in step S0204, the threshold value QTh of the charge amount Q is input as the set value. Further, in the case of FIG. 11, as in the case of FIG. 9, in step S0204, the threshold value NTh of the occurrence frequency N is input as the set value. In the case of FIG. 11, the threshold value NTh of the occurrence frequency N is input as 30 pps as in the case of FIG.

  In the case of FIG. 11, in step S0206, the φ-QN measurement board 100H5 determines whether or not the output condition is satisfied depending on whether or not the charge is equal to or greater than the threshold value QTh of the charge amount Q. Furthermore, in the case of FIG. 11, the φ-QN measurement board 100H5 determines whether or not the charge of the detection signal SIG1 output from the sensor 100H1 is a charge having an occurrence frequency N equal to or higher than a threshold value NTh of the occurrence frequency N to be set. It is determined whether the output condition is satisfied. In the case of FIG. 11, the φ-QN measurement board 100H5 determines that the output condition is satisfied when both of the condition relating to the charge amount Q and the condition relating to the occurrence frequency N are satisfied (step S0206). YES)

  In the case of FIG. 11, the φ-QN measurement board 100H5 outputs the trigger signal SIG2 when both the condition relating to the charge amount Q and the condition relating to the occurrence frequency N are satisfied, so that waveform measurement is performed. The board 100H6 performs sampling when both of the condition relating to the charge amount Q and the condition relating to the occurrence frequency N are satisfied. In FIG. 11, the charge for outputting the trigger signal SIG2 in step S0207 is in the range shown by the broken line. From the output condition in which either one of the charge amount Q or the occurrence frequency N is used alone, in the case of FIG. 11, the waveform measurement board 100H6 accurately samples the partial discharge detection signal in the same manner as in FIG. It can be carried out.

  The output condition may be a condition in which the phase φ range and the occurrence frequency N threshold value are used in combination.

  FIG. 12 is a φ-QN distribution diagram illustrating an example of setting the phase φ range and occurrence frequency N threshold according to an embodiment of the present invention, and an example of the effect of the setting.

  In the case of FIG. 12, as in the case of FIG. 8, in step S0204, as the set value, an upper limit value and a lower limit value for setting the range of the phase φ are input. Further, in the case of FIG. 12, as in the case of FIG. 9, in step S0204, the threshold value NTh of the occurrence frequency N is input as the setting value. The case of FIG. 12 is a case where the threshold value NTh of the occurrence frequency N is input as 30 pps as in FIG.

  In the case of FIG. 12, in step S0206, the φ-QN measurement board 100H5 has a phase greater than or equal to a lower limit value at which the phase φ of the alternating current of the detection signal SIG1 output from the sensor 100H1 is set, and a value smaller than the upper limit value. Whether or not the output condition is satisfied is determined depending on whether or not the current phase is the same. Further, in the case of FIG. 12, the φ-QN measurement board 100H5 determines whether or not the charge of the detection signal SIG1 output from the sensor 100H1 is a charge having an occurrence frequency N equal to or higher than a threshold value NTh of the occurrence frequency N that is set. It is determined whether the output condition is satisfied. In the case of FIG. 12, the φ-QN measurement board 100H5 determines that the output condition is satisfied when both of the condition relating to the phase φ and the condition relating to the occurrence frequency N are satisfied (in step S0206). YES). In FIG. 12, the charge that outputs the trigger signal SIG2 in step S0207 is in the range indicated by the broken line.

  In the case of FIG. 12, the φ-QN measurement board 100H5 outputs the trigger signal SIG2 when both of the condition related to the phase φ and the condition related to the occurrence frequency N are satisfied. 100H6 performs sampling when both of the condition relating to the phase φ and the condition relating to the occurrence frequency N are satisfied. In the case of FIG. 12, similarly to the case of FIG. 10, the waveform measurement board 100H6 accurately samples the detection signal of the partial discharge from the output condition that uses either the phase φ or the occurrence frequency N alone. be able to.

  The combination of the output conditions may be a combination of the threshold value of the charge amount Q, the range of the phase φ, and the threshold value of the occurrence frequency N.

  FIG. 13 is a φ-QN distribution diagram for explaining an example of setting the threshold value of the charge amount Q, the range of the phase φ, and the threshold value of the occurrence frequency N according to an embodiment of the present invention, and an example of the effect of the setting. is there.

  In the case of FIG. 13, as in FIG. 6, in step S0204, the threshold value QTh of the charge amount Q is input as the set value. Further, in the case of FIG. 13, as in FIG. 8, in step S0204, an upper limit value and a lower limit value for setting the range of the phase φ are input as the set value. Further, in the case of FIG. 13, as in FIG. 9, in step S0204, the threshold value NTh of the occurrence frequency N is input as the set value. In the case of FIG. 13, as in FIG. 9, the threshold value NTh of the occurrence frequency N is input as 30 pps.

  In the case of FIG. 13, in step S0206, the φ-QN measurement board 100H5 determines whether or not the output condition is satisfied depending on whether or not the charge is equal to or greater than the threshold value QTh of the charge amount Q. Further, in the case of FIG. 13, in step S0206, the φ-QN measurement board 100H5 determines that the phase φ of the alternating current of the detection signal SIG1 output from the sensor 100H1 is equal to or higher than the lower limit value and the upper limit value. It is determined whether or not the output condition is satisfied depending on whether or not the phase is a small value. Further, in the case of FIG. 13, the φ-QN measurement board 100H5 determines whether or not the charge of the detection signal SIG1 output from the sensor 100H1 is a charge having an occurrence frequency N equal to or higher than a threshold value NTh of the occurrence frequency N to be set. It is determined whether the output condition is satisfied. In the case of FIG. 13, the φ-QN measurement board 100H5 satisfies the output condition when all three conditions of the condition related to the charge amount Q, the condition related to the phase φ, and the condition related to the occurrence frequency N are satisfied. Judgment is made (YES in step S0206). In FIG. 13, the charge for outputting the trigger signal SIG2 in step S0207 is in the range shown by the broken line.

  When an output condition that combines a threshold value for the charge amount Q, a range of the phase φ, and a threshold value for the occurrence frequency N is used, and when the restriction based on the threshold value for the charge amount Q is not performed, φ−Q−N The measurement board 100H5 sets the smallest value output from the detection signal SIG1 as the threshold value of the charge amount Q. When an output condition that combines a threshold value for the charge amount Q, a phase φ range, and a threshold value for the occurrence frequency N is used, and when there is no limitation based on the phase φ range condition, the φ-Q-N measurement board 100H5 Sets 0 ° for the lower limit and 360 ° for the upper limit. When an output condition that combines a threshold value of charge amount Q, a range of phase φ, and a threshold value of occurrence frequency N is used, and when there is no restriction based on the condition of threshold value of occurrence frequency N, the φ-QN measurement board 100H5 sets 0 pps as the threshold value NTh of the occurrence frequency N.

  In the case of FIG. 13, the φ-QN measurement board 100H5 outputs the trigger signal SIG2 when the three conditions of the condition related to the charge amount Q, the condition related to the phase φ, and the condition related to the occurrence frequency N are satisfied. Therefore, the waveform measurement board 100H6 performs sampling when the three conditions of the condition related to the charge amount Q, the condition related to the phase φ, and the condition related to the occurrence frequency N are satisfied. In the case of FIG. 13, the waveform measurement board 100H6 can sample the partial discharge detection signal with high accuracy from the output condition that uses the charge amount Q, the phase φ, or the occurrence frequency N alone.

  Note that the threshold value QTh of the charge amount Q is not limited to the case where the user inputs and sets from the PC 101.

  FIG. 14 is a φ-QN distribution diagram illustrating an example of calculation, setting, and effect of setting of the threshold value of the charge amount Q by the setting unit according to an embodiment of the present invention.

  When the φ-QN measurement board 100H5 determines whether or not the output condition is satisfied based on the threshold value of the charge amount Q, the φ-QN measurement board 100H5 sets the set value in step S0204. A process of inputting a threshold value QTh of the charge amount Q is performed. The threshold value QTh of the charge amount Q may be a value calculated based on the noise charge amount Q. A case where the noise in FIG. 6A is measured will be described as an example.

  In the case of FIG. 14, the φ-QN measurement board 100H5 calculates the minimum value Min of the charge of the noise NIS in step S0204. The minimum value Min is a voltage value of the detection signal SIG1 that is the smallest value among the measured noise NIS.

  In the case of FIG. 14, the φ-QN measurement board 100H5 calculates the width W in which the charge of the noise NIS is obtained in step S0204. The width W in which the charge of the noise NIS is obtained is calculated by, for example, the voltage value of the detection signal SIG1 having the smallest value and the voltage value of the detection signal SIG1 having the largest value among the measured noise NIS. The width W for obtaining the noise NIS charge is set by the PC 101 in advance as a standard deviation of the charge amount Q of the noise NIS charge or an arbitrary value such as 3σ obtained by multiplying the standard deviation by three. Also good. Further, the width W in which the noise NIS charge is obtained is not limited to the case where the user inputs a value into the PC 101 and the value is set.

  As shown in FIG. 14, the threshold value QTh of the charge amount Q is a value obtained by adding a width W for obtaining the charge of the noise NIS to the minimum value Min. Since the threshold value QTh of the charge amount Q is set to a value larger than the charge amount Q of the charge of the noise NIS, the threshold value QTh of the charge amount Q is similar to the threshold value QTh of the charge amount Q of FIG. The value corresponds to partial discharge. In the case of FIG. 14, in step S0206, the φ-QN measurement board 100H5 determines whether or not the output condition is satisfied depending on whether or not the charge is equal to or greater than the threshold value QTh of the charge amount Q. In the case of FIG. 14, as in the case of FIG. 6B, in step S0207, the φ-QN measurement board 100H5 outputs a trigger signal when the charge is equal to or greater than the threshold value QTh of the charge amount Q. In the case of FIG. 14, in step S0207, the φ-Q-N measurement board 100H5 does not output a trigger signal for the noise NIS whose charge amount is smaller than the threshold value QTh of the charge amount Q.

  The φ-QN measurement board 100H5 can set the threshold value QTh of the charge amount Q based on the minimum charge Min of the noise NIS and the width W from which the charge of the noise NIS is obtained. The φ-QN measurement board 100H5 is triggered by the minimum discharge charge value Min of the noise NIS and the threshold value QTh of the charge amount Q based on the width W from which the charge of the noise NIS is obtained. A signal can be output. Therefore, the partial discharge measuring apparatus 100 can sample the partial discharge detection signal from the alternating current detection signal including low-frequency noise and the like.

  Note that the minimum value Min of the charge of the noise NIS and the width W from which the charge of the noise NIS is obtained may change due to background noise changing with time. Therefore, the minimum value Min of the charge of the noise NIS and the width W from which the charge of the noise NIS is obtained may be updated at predetermined time intervals. The threshold value QTh of the charge amount Q may be updated at predetermined time intervals by updating the minimum value Min of the charge of the noise NIS and the width W in which the charge of the noise NIS is obtained.

<Embodiment 2>
<Hardware configuration of partial discharge measuring apparatus having a plurality of sensors>
FIG. 15 is a block diagram illustrating an example of a hardware configuration of a partial discharge measurement device having two measurement units according to an embodiment of the present invention.

  The hardware configuration in FIG. 15 is different from the hardware configuration in FIG. 1 in that the partial discharge measuring apparatus 100 includes a sensor 100H21, an amplifier 100H22, a filter 100H23, and a detection processing circuit 100H24. Hereinafter, different points will be mainly described.

  Similarly to the sensor 100H1, the sensor 100H21 is connected to a power facility such as a cable where partial discharge is measured, and the sensor 100H21 measures an alternating current flowing through the power facility such as a cable. The output terminal of the sensor 100H21 is connected to the input terminal of the amplifier 100H22. A detection signal corresponding to the alternating current measured by the sensor 100H1 is defined as a first detection signal SIG11, and a detection signal corresponding to the alternating current measured by the sensor 100H21 is defined as a second detection signal SIG12.

  Similarly to the amplifier 100H2, the amplifier 100H22 amplifies the second detection signal SIG12 output from the sensor 100H21. The output terminal of the amplifier 100H22 is connected to the input terminal of the filter 100H23 and the input terminal of the waveform measurement board 100H6.

  The filter 100H23 is a bandpass filter similar to the filter 100H3. The filter 100H23 extracts a signal in a specific frequency band from the second detection signal SIG12 amplified by the amplifier 100H22. The output terminal of the filter 100H23 is connected to the input terminal of the detection processing circuit 100H24.

  Similarly to the detection processing circuit 100H4, the detection processing circuit 100H24 performs detection processing on the second detection signal SIG12. The output terminal of the detection processing circuit 100H24 is connected to the input terminal of the φ-QN measurement board 100H5.

  In the case of FIG. 15, the A / D converter 100H51 A / D converts the first detection signal SIG11 and the second detection signal SIG12.

  The memory 100H52 stores various data and parameters used by the φ-QN measurement board 100H5.

  The hardware configuration in FIG. 15 is a configuration in which two-channel detection signals of the first detection signal SIG11 and the second detection signal SIG12 are output to the φ-QN measurement board 100H5. Similarly, the hardware configuration in FIG. 15 is a configuration in which detection signals of two channels of the first detection signal SIG11 and the second detection signal SIG12 are also output to the waveform measurement board 100H6.

  In the case of FIG. 15, the φ-QN measurement board 100H5 performs the determination in step S0206 under different output conditions for the first detection signal SIG11 and the second detection signal SIG12.

  FIG. 16 is a φ-QN distribution diagram for explaining an example of the threshold value of the charge amount Q in the case of the partial discharge measurement device having two measurement units according to an embodiment of the present invention.

  FIG. 16A is a φ-QN distribution diagram for explaining an example of the threshold value of the charge amount Q set for the charge measured by the first detection signal SIG11. FIG. 16B is a φ-QN distribution diagram for explaining an example of the threshold value of the charge amount Q set for the charge measured by the second detection signal SIG12.

  FIG. 16 shows a case where it is determined whether or not the output condition is satisfied according to whether or not the φ-QN measurement board 100H5 has a charge equal to or larger than the threshold value of the charge amount Q in step S0206, as in FIG. Explained as an example.

  When detection signals of two channels of the first detection signal SIG11 and the second detection signal SIG12 are output, in step S0204, the set values are the threshold value QTh11 of the charge amount Q of the first detection signal SIG11 and the second detection signal SIG12. The threshold value QTh12 of the charge amount Q is input.

  As illustrated in FIGS. 16A and 16B, the threshold value QTh11 of the charge amount Q of the first detection signal SIG11 and the threshold value QTh12 of the charge amount Q of the second detection signal SIG12 are different from each other. Is set.

  When two channel detection signals of the first detection signal SIG11 and the second detection signal SIG12 are output, in step S0206, the φ-Q-N measurement board 100H5 determines that the charge of the first detection signal SIG11 is the charge amount Q. It is determined whether the charge is equal to or greater than the threshold value QTh. When detection signals of two channels of the first detection signal SIG11 and the second detection signal SIG12 are output, the charge of the second detection signal SIG12 is set in the φ-QN measurement board 100H5 in step S0206, respectively. Whether or not the charge is equal to or greater than the threshold value QTh of the charge amount Q is determined for each signal. When detection signals of two channels of the first detection signal SIG11 and the second detection signal SIG12 are output, in step S0206, the φ-QN measurement board 100H5 determines whether the second detection signal SIG11 and the second detection signal SIG12 are related to the first detection signal SIG11. If any of the determinations related to the detection signal SIG12 determines that the charge is equal to or greater than the threshold value QTh of the charge amount Q, it is determined that the output condition is satisfied (YES in step S0206). When detection signals of two channels of the first detection signal SIG11 and the second detection signal SIG12 are output, in step S0207, the φ-QN measurement board 100H5 determines that the charge of the first detection signal SIG11 is the first detection signal. When the charge is greater than or equal to the threshold value QTh11 of the charge amount Q of the SIG11, or when the charge of the second detection signal SIG12 is greater than or equal to the threshold value QTh12 of the charge amount Q of the second detection signal SIG12, the trigger signal SIG2 is output.

  By setting the threshold value QTh11 of the charge amount Q of the first detection signal SIG11 and the threshold value QTh12 of the charge amount Q of the second detection signal SIG12, the φ-Q-N measurement board 100H5 can detect the first detection signal SIG11 or The trigger signal SIG2 can be output when the partial discharge charge is output by any one of the second detection signals SIG12. Therefore, when the partial discharge detection signal is output from either the first detection signal SIG11 or the second detection signal SIG12, the partial discharge measurement device 100 generates a partial discharge detection signal from the output detection signal. Sampling is possible.

  Here, the φ-QN measurement board 100H5 determines what the output condition is satisfied when any one of the first detection signal SIG11 and the second detection signal SIG12 is equal to or greater than a threshold value. Although the (OR) operation has been described, the embodiment is not limited to the logical sum operation. The embodiment may be a so-called AND operation that determines that the output condition is satisfied when both of the first detection signal SIG11 and the second detection signal SIG12 are equal to or greater than a threshold value. Similarly, in the embodiment, for the first detection signal SIG11 and the second detection signal SIG12, when one signal is equal to or greater than the threshold value and the other signal is less than the threshold value, that is, the determination for both signals is mutually If they are different, a so-called exclusive OR (XOR) operation that determines that the output condition is satisfied may be used.

  For example, when the trigger signal SIG2 is output based on the logical product operation, in step S0207, the charge of the first detection signal SIG11 is set in advance when the charge is equal to or greater than the threshold value QTh11 of the charge amount Q of the first detection signal SIG11. If the charge of the second detection signal SIG12 is equal to or greater than the threshold value QTh12 of the charge amount Q of the second detection signal SIG12 within the time of the measured time, the φ-QN measurement board 100H5 Judging to meet. Therefore, when one signal is equal to or greater than the threshold and the other signal is equal to or greater than the threshold within a predetermined time, the φ-QN measurement board 100H5 outputs the trigger signal SIG2.

  For example, when the trigger signal SIG2 is output based on the exclusive OR operation, in step S0207, the charge of the first detection signal SIG11 is a charge that is equal to or greater than the threshold value QTh11 of the charge amount Q of the first detection signal SIG11. When the charge of the second detection signal SIG12 is less than the threshold value QTh12 of the charge amount Q of the second detection signal SIG12 within a preset time, the φ-QN measurement board 100H5 It is determined that the output condition is satisfied. Therefore, when one signal is equal to or greater than the threshold and the other signal is less than the threshold within a predetermined time, the φ-QN measurement board 100H5 outputs the trigger signal SIG2.

  Note that when the trigger signal SIG2 is output based on the exclusive OR operation, when the charge is less than the threshold value QTh11 of the charge amount Q of the first detection signal SIG11, and within a preset time, When the charge of the second detection signal SIG12 is equal to or higher than the threshold value QTh12 of the charge amount Q of the second detection signal SIG12, the φ-QN measurement board 100H5 may determine that the output condition is satisfied.

  Note that the hardware configuration in FIG. 15 may be a filter in which the filter 100H3 and the filter 100H23 extract signals in the same frequency band. Further, the hardware configuration of FIG. 15 may be a filter in which the filter 100H3 and the filter 100H23 respectively extract signals in different frequency bands.

  The partial discharge measuring apparatus 100 has a hardware configuration having two or more sensors, and the charge amount Q threshold value, the phase φ range, the occurrence frequency N threshold value described in FIGS. A determination may be made according to the output conditions to be used. Similarly, the partial discharge measuring apparatus 100 has a hardware configuration including two or more sensors, and the threshold value QTh11 of the charge amount Q of the first detection signal SIG11 and the threshold value QTh12 of the charge amount Q of the second detection signal SIG12 are shown in FIG. A value calculated based on the noise charge amount Q described in the above may be set.

  Further, the hardware configuration of the partial discharge measuring apparatus 100 is not limited to the hardware configuration shown in FIGS. 1 and 15. The partial discharge measuring apparatus 100 may have a hardware configuration having three or more sensors. In this case, in the embodiment, the φ-QN measurement board 100H5 arbitrarily performs a logical sum operation, a logical product operation, and an exclusive logical sum operation for detection signals from a plurality of sensors included in the partial discharge measurement device 100. It may be configured to be determined in combination.

  The partial discharge measuring device 100 may have a configuration including an information processing device such as a PC. The partial discharge measuring apparatus 100 may be configured to cause a PC or the like to perform part or all of the processing performed by the φ-QN measurement board 100H5 and the waveform measurement board 100H6, for example.

  When the partial discharge measuring apparatus 100 has an information processing apparatus such as a PC, the digital filter process may be realized by a process using software.

  As described above, the partial discharge measuring device that measures the partial discharge generated in the cable according to the exemplary embodiment of the present invention, measures the alternating current flowing through the cable, and outputs the voltage value based on the alternating current as a detection signal. Distribution data indicating a distribution of the frequency of occurrence of the phase of the alternating current measured by the measurement unit, the charge obtained in the phase, and the occurrence of the charge obtained in the phase per unit time. When the alternating current satisfies an output condition based on at least one of the phase corresponding to the partial discharge, the charge, and the generation frequency in the distribution data generation unit to be generated and a trigger signal, When the trigger signal is output from the signal output unit to be output and the signal output unit, the sampling is performed to sample the detection signal output from the measurement unit. Although the partial discharge measuring device having the ring portion has been described, the present invention is not limited to the specifically disclosed embodiments, and various modifications and changes can be made without departing from the scope of the claims. Is possible.

100 Partial Discharge Measurement Device 100H1, 100H21 Sensor 100H2, 100H22 Amplifier 100H3, 100H23 Filter 100H4 Detection Processing Circuit 100H5 φ-QN Measurement Board 100H51 A / D Converter 100H52 Memory 100H53 MCU
100H531 Microprocessor 100H6 Waveform measurement board 100H61 A / D converter 100H62 Memory 100H63 MCU
100H631 Microprocessor 100H7 Phase detection sensor 100H8 Phase signal processing circuit 101 PC
SIG1, SIG1A Detection signal SIG11 First detection signal SIG12 Second detection signal SIG2 Trigger signal SIG3 Sampling range Q Charge amount φ Phase N Frequency of occurrence QTh Charge amount Q threshold QTh11 First detection signal SIG11 charge amount Q threshold QTh12 First Threshold value of charge amount Q of two detection signals SIG12 Pk1, Pk1A Peak point T1A Trigger timing T2 Trigger preprocessing time T3 Trigger postprocessing time NIS noise W Noise NIS

Claims (9)

A partial discharge measuring device for measuring partial discharge generated in electric power equipment,
A measuring unit that measures an alternating current flowing through the power facility and outputs a voltage value based on the alternating current as a detection signal;
Distribution data indicating a distribution of the frequency of occurrence of the charge per unit time with respect to the phase from the phase of the alternating current measured by the measurement unit and the charge obtained from the measured alternating current. A distribution data generation unit to generate ,
A signal output unit that outputs a trigger signal when the alternating current satisfies an output condition based on at least one of the phase corresponding to the partial discharge, the charge, and the generation frequency in the distribution data;
When the trigger signal is output from the signal output unit, the partial discharge measurement device includes a sampling unit that samples the detection signal output from the measurement unit. The output condition includes a setting unit that sets a threshold value of the charge corresponding to the partial discharge,
The said signal output part outputs the said trigger signal, if the said detection signal based on the said alternating current corresponding to the said partial discharge from which the said electric charge more than the said threshold value set by the said setting part is obtained is output. The partial discharge measuring apparatus according to 1. As the output condition, having a setting unit for setting the range of the phase corresponding to the partial discharge,
The partial discharge measurement according to claim 1, wherein the signal output unit outputs the trigger signal when the detection signal based on the phase of the alternating current corresponding to the range set by the setting unit is output. apparatus. As the output condition, a setting unit that sets a threshold value of the occurrence frequency corresponding to the partial discharge,
The part according to claim 1, wherein the signal output unit outputs the trigger signal when the detection signal based on the alternating current that generates the occurrence frequency equal to or higher than the threshold set by the setting unit is output. Discharge measuring device. The measurement unit measures the alternating current of noise, and outputs a voltage value based on the alternating current of noise as a detection signal,
The distribution data generation unit includes the phase of the alternating current of the noise measured by the measuring unit, the charge of the noise obtained from the phase of the alternating current of the noise, and the alternating current including the noise. Generating distribution data indicating a distribution of the frequency of occurrence of the noise generated per unit time of the charge of the noise obtained in the phase of the current;
The setting unit calculates a minimum value of the charge of the noise obtained from the alternating current of the noise per unit time, and a width in which the charge of the noise is obtained from the minimum value, and sets the minimum value to the minimum value. The partial discharge measuring apparatus according to claim 2, wherein a value obtained by adding a width is set as the threshold value. A filter unit that filters a predetermined frequency band in the detection signal output from the measurement unit to the distribution data generation unit;
The partial discharge measuring apparatus according to claim 1, wherein the sampling unit performs digital filter processing of the frequency band on the detection signal. Having two or more measuring units,
The output condition is set for each of the detection signals output by each of the measurement units,
The signal output unit satisfies at least one of the output conditions set for the detection signal, satisfies all the output conditions set for the detection signal, or sets the detection signal respectively. The partial discharge measuring device according to claim 1, wherein a trigger signal is output when one of the set output conditions is satisfied. A partial discharge measuring method performed by a partial discharge measuring device for measuring partial discharge generated in electric power equipment,
The partial discharge measuring device measures an alternating current flowing through the power equipment, and outputs a voltage value based on the alternating current as a detection signal; and
Frequency of occurrence of the charge per unit time with respect to the phase from the phase of the alternating current measured by the partial discharge measuring device and the charge obtained from the measured alternating current Distribution data generation procedure for generating distribution data indicating the distribution of
The partial discharge measuring device outputs a trigger signal when the alternating current satisfies an output condition based on at least one of the phase, the charge, and the occurrence frequency corresponding to the partial discharge in the distribution data. Signal output procedure,
A partial discharge measurement method in which the partial discharge measurement device performs a sampling procedure for sampling the detection signal output in the measurement procedure when the trigger signal is output in the signal output procedure. A program for causing a partial discharge measuring device that measures partial discharge generated in electric power equipment to perform measurement of the partial discharge,
The partial discharge measuring device measures an alternating current flowing through the power equipment, and outputs a voltage value based on the alternating current as a detection signal; and
Frequency of occurrence of the charge per unit time with respect to the phase from the phase of the alternating current measured by the partial discharge measuring device and the charge obtained from the measured alternating current Distribution data generation procedure for generating distribution data indicating the distribution of
The partial discharge measuring device outputs a trigger signal when the alternating current satisfies an output condition based on at least one of the phase, the charge, and the occurrence frequency corresponding to the partial discharge in the distribution data. Signal output procedure,
A program for causing the partial discharge measurement device to execute a sampling procedure for sampling the detection signal output in the measurement procedure when the trigger signal is output in the signal output procedure.