KR20200131492A - Partial discharge location detection system using the radio and method thereof - Google Patents

Abstract

The present invention discloses a wireless partial discharge position detection system and a method thereof. According to one aspect of the present invention, the wireless partial discharge position detection system comprises: a plurality of partial discharge sensors installed in a power device to detect a partial discharge signal generated from the power device; and a partial discharge position detection device receiving a partial discharge signal from the plurality of partial discharge sensors, operating a time difference between the sensors using the partial discharge signal, extracting a broadband signal to diagnose the occurrence and type of the partial discharge, calculating the group speed for each mode of the diagnosed partial discharge signal of each type using the time difference between the sensors, and detecting a partial discharge occurrence position of each type using the calculated group speed for each mode.

Description

Wireless partial discharge location detection system and its method {PARTIAL DISCHARGE LOCATION DETECTION SYSTEM USING THE RADIO AND METHOD THEREOF}

The present invention relates to a wireless partial discharge position detection system and method thereof.

Power facilities such as power plants or substations include various power devices such as generators, gas insulated switchgear, gas insulated transformers, and oil immersed transformers. Since a high voltage current flows through such a power device, a partial discharge occurs as a precursor to a failure of the power device. In this way, if a partial discharge occurs in a power device, there is a possibility that insulation breakdown may be reached, and the operation of the entire power facility may finally be stopped. Therefore, a partial discharge diagnosis device is indispensable for preventing the failure of the electric power equipment by early diagnosing the occurrence of the partial discharge and taking appropriate measures.

In the conventional partial discharge diagnosis apparatus, there are many cases in which partial discharge is determined by wire (coaxial cable), or errors are often caused due to loss even though the actual partial discharge occurs. In addition, the conventional partial discharge location search technique often provides a location of a signal other than an intrinsic partial discharge signal as the location of the electromagnetic wave sensor partial discharge. There is a potential factor in that the power equipment is rapidly deteriorated or failure occurs because the power equipment is not properly repaired due to such partial discharge diagnosis misdiagnosis and location error.

Accordingly, there is a need for a technology development capable of more accurately diagnosing the occurrence and type of partial discharge, and searching for the location of the partial discharge.

The background technology of the present invention is disclosed in Korean Patent Publication No. 10-1574613'Partial Discharge Monitoring and Diagnosis System by Detecting Ultra-High Frequency Electric Signals with Remote Setting Function'.

The present invention has been conceived to improve the above problems, and an object of the present invention is a wireless partial discharge position detection system capable of more accurately diagnosing the occurrence and type of partial discharge, and searching for the occurrence location of the partial discharge, and It is to provide a way.

The problem to be solved by the present invention is not limited to the problem(s) mentioned above, and another problem(s) not mentioned will be clearly understood by those skilled in the art from the following description.

A wireless partial discharge position detection system according to an aspect of the present invention includes a plurality of partial discharge sensors installed in a power device to detect a partial discharge signal generated from the power device, and a partial discharge signal from the plurality of partial discharge sensors. Receive, calculate a time difference between sensors using the partial discharge signal, extract a broadband signal to diagnose the occurrence and type of partial discharge, and use the time difference between the sensors to determine the diagnosis of each type of partial discharge signal. And a partial discharge position detection device that calculates a group speed for each mode and detects a position of each type of partial discharge using the calculated group speed for each mode.

In the present invention, by receiving at least one of a time difference between sensors, a pattern of a broadband signal, and a partial discharge location from the partial discharge position detection device, PRPD, PRPS, defect type, partial discharge location (cm), and time difference between sensors At least one of (ns) and the distance between sensors (cm) may further include a display device.

In the present invention, the partial discharge position detection device includes a time difference calculator that calculates a time difference between sensors from the partial discharge signal, extracts a broadband signal from the partial discharge signal, and analyzes the pattern of the extracted broadband signal, A broadband analysis unit that diagnoses the occurrence and type of, calculates the group speed for each mode of the diagnosed partial discharge signal using the time difference between the sensors, and generates each type of partial discharge using the calculated group speed for each mode. Gunseok for detecting the location may also include an analysis unit.

In the present invention, further comprising a spectrum analysis unit for extracting a signal for each frequency domain of a multi-spectrum from the partial discharge signal, and analyzing the frequency characteristics of the frequency domain for the partial discharge signal corresponding to each type diagnosed by the broadband analysis unit can do.

In the present invention, the group analysis unit calculates the time difference of the group speed for each mode in the frequency domain of the partial discharge signal according to the frequency characteristic analyzed by the spectrum analysis unit, and searches for the location of the partial discharge occurrence of each partial discharge type. I can.

A partial discharge position detection device according to another aspect of the present invention includes a communication unit receiving a partial discharge signal from each partial discharge sensor installed in each power device, a time difference calculating unit calculating a time difference between sensors from the partial discharge signal, and the partial discharge signal. A broadband analysis unit that extracts a broadband signal from and analyzes the pattern of the extracted broadband signal to diagnose the occurrence and type of partial discharge, and each mode of the diagnosed partial discharge signal using the time difference between the sensors It includes a group map analysis unit that calculates the group speed and detects the location of each type of partial discharge using the calculated group speed for each mode.

In the present invention, further comprising a spectrum analysis unit for extracting a signal for each frequency domain of a multi-spectrum from the partial discharge signal, and analyzing the frequency characteristics of the frequency domain for the partial discharge signal corresponding to each type diagnosed by the broadband analysis unit can do.

In the present invention, the group analysis unit calculates the time difference of the group speed for each mode in the frequency domain of the partial discharge signal according to the frequency characteristic analyzed by the spectrum analysis unit, and searches for the location of the partial discharge occurrence of each partial discharge type. I can.

In the present invention, it may further include a time synchronization unit that generates a reference time signal that fluctuates at a certain period and provides the time difference calculation unit, the broadband analysis unit, and the group speed analysis unit as a synchronization signal.

In the present invention, the broadband analysis unit includes a frequency filter that extracts a broadband signal from the partial discharge signal, an amplification unit that amplifies the broadband signal output from the frequency filter, and detects and holds the peak of the amplified broadband signal for a predetermined time. A peak holder for extracting the instantaneous maximum value of the amplified broadband signal by holding and outputting a signal with an enlarged time scale based on the extracted instantaneous maximum value, and an analog signal output from the pig holder as a digital signal. An A/D converter that converts, analyzes a pattern of a signal output from the A/D converter, and diagnoses the occurrence and type of partial discharge based on the characteristics of the analyzed signal pattern.

In the present invention, the spectrum analysis unit includes a frequency filter for extracting a broadband signal from the partial discharge signal, a frequency domain extraction unit for extracting a signal for each frequency domain of a multi-spectrum from a signal output from the frequency filter, and a frequency domain of each spectrum The peak holder for calculating the frequency domain signal whose time scale is sequentially expanded for the star signal, the A/D converter converting the analog signal output from the pig holder into a digital signal, and the frequency domain signal output from the A/D converter It may include an operation unit that analyzes the frequency characteristics.

In the present invention, the operation unit compares the characteristic values of the frequency domain signals output from the A/D converter with the frequency characteristic values of various types of partial discharge signals, and determines whether or not there is an error in the partial discharge diagnosis of the broadband analyzer. I can.

In the present invention, the group speed analysis unit calculates the group speed of the first mode electromagnetic wave for each type of partial discharge signal according to the diagnosis of the broadband analysis unit, and calculates the group speed of the second mode electromagnetic wave for the corresponding type of partial discharge signal. In addition, it is possible to search for a location of a corresponding type of partial discharge from a time difference between the group speed of the first mode electromagnetic wave and the group speed of the second mode electromagnetic wave.

In the present invention, the group speed analysis unit includes a time filter that integrates the partial discharge signal for each period of a predetermined time and calculates the speed of the partial discharge signal for each period of a predetermined time, and the signal output from the time filter is converted into a digital signal. A/D converter that converts, an FFT that Fourier transforms the signal output from the A/D converter for each section of a predetermined time to calculate a frequency component for each section, and a cutoff frequency among frequency components for each section calculated by the FFT A group speed calculation unit that calculates a group speed for each mode of the partial discharge signal using and frequency, and a location search unit that searches for a location of each type of partial discharge signal based on the calculated difference in the group speed for each mode.

In a method for detecting a partial discharge position for wireless according to another aspect of the present invention, in a method for detecting a partial discharge position by a partial discharge position detecting apparatus, the step of receiving a partial discharge signal from each partial discharge sensor installed in each power device , Calculating a time difference between sensors from the partial discharge signal, extracting a broadband signal from the partial discharge signal, analyzing the pattern of the extracted broadband signal, and diagnosing the occurrence and type of partial discharge, between the sensors And calculating a group velocity for each mode of each of the diagnosed partial discharge signals using a time difference, and detecting a location of each type of partial discharge using the calculated group velocity for each mode.

The present invention interlocks the time difference analysis function between the sensors, the broadband analysis function, and the group speed analysis function to search for the location of the signal diagnosed as partial discharge, so that a signal other than the type of partial discharge signal diagnosed according to the broadband analysis technique is The occurrence location can be prevented from being mistaken for the location of the partial discharge.

In addition, the present invention not only can verify the diagnosis result of the partial discharge using the frequency characteristics of the signal diagnosed as partial discharge, but also perform group velocity analysis by specifying the frequency domain of the signal diagnosed as partial discharge, Since it is impossible to search for the location of partial discharge according to the difference in group speed in the region, it is possible to very accurately search the location of the intrinsic partial discharge.

In addition, in the present invention, since time difference analysis, broadband analysis, spectrum analysis, and group speed analysis are performed between sensors in synchronization with the reference time signal, it is not possible for each analysis operation to misrecognize and process signals detected in different time zones as the same signal. Can be prevented. Accordingly, it is possible to prevent deterioration and failure of the power device due to a defect in the power device due to a partial discharge diagnosis misdiagnosis and a location error.

Meanwhile, the effects of the present invention are not limited to the above-mentioned effects, and various effects may be included within a range that will be apparent to a person skilled in the art from the contents to be described below.

1 is a view for explaining a wireless partial discharge position detection system according to an embodiment of the present invention.
2 is a block diagram illustrating a partial discharge position detection apparatus according to an embodiment of the present invention.
3 is a detailed configuration diagram of a time difference analysis unit shown in FIG. 2.
4 is a detailed configuration diagram of a broadband analysis unit shown in FIG. 2.
5 is a detailed configuration diagram of a spectrum analysis unit shown in FIG. 2.
6 is a detailed configuration diagram of a group speed analysis unit shown in FIG. 2.
7 is a diagram illustrating an example of a display screen of a display device according to an embodiment of the present invention.
8 is a configuration diagram of details of wireless data transmitted to a display device according to an embodiment of the present invention.
9 is a flowchart illustrating a method of detecting a location of a partial discharge for wireless according to an embodiment of the present invention.

Hereinafter, a wireless partial discharge position detection system and method according to an embodiment of the present invention will be described with reference to the accompanying drawings. In this process, the thickness of the lines or the size of components shown in the drawings may be exaggerated for clarity and convenience of description.

In addition, terms to be described later are terms defined in consideration of functions in the present invention and may vary according to the intention or custom of users or operators. Therefore, definitions of these terms should be made based on the contents throughout the present specification.

In addition, the implementation described herein may be implemented in, for example, a method or process, an apparatus, a software program, a data stream or a signal. Although discussed only in the context of a single form of implementation (eg, only as a method), the implementation of the discussed features may also be implemented in other forms (eg, an apparatus or program). The device may be implemented with appropriate hardware, software and firmware. The method may be implemented in an apparatus such as a processor, which generally refers to a processing device including, for example, a computer, microprocessor, integrated circuit or programmable logic device, or the like. Processors also include communication devices such as computers, cell phones, personal digital assistants ("PDAs") and other devices that facilitate communication of information between end-users.

1 is a view for explaining a wireless partial discharge position detection system according to an embodiment of the present invention.

Referring to FIG. 1, a wireless partial discharge position detection system according to an embodiment of the present invention includes a plurality of partial discharge sensors 100, a partial discharge position detection device 200, and a display device 300.

The partial discharge sensor 100 is installed in a power device and detects a partial discharge signal generated from the power device. Power facilities such as power plants or substations include various power devices such as generators, gas insulated switchgear, gas insulated transformers, and inlet transformers. Various types of partial discharges occur inside or outside the power equipment, and there are various types of sensors to measure these various types of partial discharges. For example, the partial discharge sensor 100 may be a UHF (Ultra High Frequency) sensor that is installed inside or outside a power device as a kind of UHF antenna, and detects radiated electromagnetic waves that appear when partial discharge occurs. Here, partial discharge refers to a discharge generated in a local area other than between electrodes, and the types include corona discharge, floating discharge, and particle discharge. , Void discharge, and the like. Since partial discharge causes insulation breakdown of power equipment, it can be used as an index to prevent failure of power equipment.

The partial discharge position detection apparatus 200 receives partial discharge signals from a plurality of partial discharge sensors 100, calculates a time difference between the partial discharge sensors using the partial discharge signals, and extracts a broadband signal to determine the partial discharge pattern and The type is diagnosed, the group velocity of each type of partial discharge signal is calculated using the time difference between the sensors, and the position of each type of partial discharge is detected using the calculated group velocity of each type.

The partial discharge position detection device 200 transmits information such as partial discharge pattern analysis and partial discharge occurrence location to the display device 300 through wireless communication.

A detailed description of the partial discharge position detection device 200 will be made with reference to FIG. 2.

The display device 300 displays data transmitted from the partial discharge position detection device 200. That is, the display device 300 displays information such as PRPD, PRPS, defect type, partial discharge location (cm), Δt value between sensors (ns), and distance between sensors (cm). In this case, the display device 300 may display information transmitted from the partial discharge position detection device 200 as shown in FIG. 7. Referring to FIG. 7, the display device 300 displays a graph representing a partial discharge pattern using analysis data of a broadband analyzer, and a graph representing frequency characteristics for each frequency domain of each spectrum using analysis data of the spectrum analyzer. And a graph indicating a cluster type of frequency components for each mode of a frequency domain signal can be displayed using the analysis data of the group speed analysis unit. These graphs may be integrated into one screen and displayed, or may be divided into a plurality of (eg, three) screens and displayed. For example, since all graphs for each function are displayed on the display device 300 in a state in which the Δt analysis function, the broadband analysis function, the spectrum analysis function, and the group speed analysis function are interlocked as shown in FIG. 8, the partial discharge position is detected. The administrator of the device 200 can more conveniently use partial discharge diagnosis and location search by using only one device. The partial discharge location detection device 200 may be manufactured in the form of a portable wireless diagnostic device.

Meanwhile, in FIG. 1, it has been described that the display device 300 is separately provided, but the display device 300 may be included in the partial discharge position detecting device 200.

2 is a block diagram illustrating a partial discharge position detection apparatus according to an embodiment of the present invention.

2, the partial discharge position detection apparatus 200 according to an embodiment of the present invention includes a communication unit 210, a distribution unit 220, a time difference analysis unit 230, a broadband analysis unit 240, and a spectrum analysis. A unit 250, a group velocity analysis unit 260, a time synchronization unit 270, and a control unit 280 are included.

The communication unit 210 is a component for communication with the partial discharge sensor 100 or the display device 300, and may be implemented in various forms, such as a short-range communication module and a wireless communication module.

The distribution unit 220 includes a time difference analysis unit 230, a broadband analysis unit 240, a spectrum analysis unit 250, and a group velocity analysis unit for the partial discharge signal received from the partial discharge sensor 100 through the communication unit 210. 260) Enter each. The distribution unit 220 may be implemented as, for example, a radio frequency (RF) splitter.

The time synchronization unit 270 generates a reference time signal that fluctuates at a certain period and provides the time difference analysis unit 230, the broadband analysis unit 240, the spectrum analysis unit 250, and the group speed analysis unit 260 as a synchronization signal. do. That is, the time synchronization unit 270 analyzes the time difference analysis unit 230, the broadband analysis unit 240, the spectrum analysis unit 250, and the group speed for the partial discharge signal detected in the same time zone by the partial discharge sensor 100. In order to perform signal processing by each of the units 260 at the same time, a reference time signal that fluctuates at a certain period is generated. Then, the time difference analysis unit 230 and the broadband analysis unit 240 analyze a time difference calculation between sensors and a pattern of a broadband signal in synchronization with the reference time signal, and the spectrum analysis unit 250 performs frequency characteristics in synchronization with the reference time signal. And the group speed analysis unit 260 calculates the group speed for each mode in synchronization with the reference visual signal. In this way, the time difference analysis of the time difference analysis unit 230 for the partial discharge signal detected in the same time zone by the partial discharge sensor 100 by the reference time signal, the analysis of the broadband signal pattern of the broadband analysis unit 240, the spectrum analysis unit ( The frequency characteristic analysis of 250) and the group speed calculation of the group speed analysis unit 260 may be simultaneously performed.

The time difference analysis unit 230 calculates a time difference between sensors from the partial discharge signal.

Since the partial discharge generation location is searched using two partial discharge sensors, the partial discharge signal detected by the partial discharge sensor 100 is important. Accordingly, the time difference analysis unit 230 calculates the time difference between the sensors using Equation 1 below based on signals of 1 ns or less respectively detected by the two partial discharge sensors.

[Equation 1]

Here, L may be a distance between partial discharge sensors, 30 may be a light rate constant, and Δt may be a time difference between the two partial discharge sensors.

Through the time difference analysis unit 230, the location of the partial discharge occurring inside the power facility may be tracked in cm.

A detailed description of the time difference analysis unit 230 will be referred to FIG. 3.

The broadband analyzer 240 extracts a broadband signal from the partial discharge signal, analyzes the pattern of the extracted broadband signal, and diagnoses the occurrence and type of the partial discharge.

That is, the broadband analysis unit 240 synchronizes with the reference time signal output from the time synchronization unit 270, and obtains a broadband signal including various types of partial discharge signals from the partial discharge signal input through the distribution unit 220. It extracts and analyzes the pattern of the broadband signal to diagnose partial discharge occurring in the broadband. Thereafter, the broadband analyzer 240 diagnoses the occurrence and type of partial discharges that occur in the broadband manually or automatically based on the characteristics of the analyzed broadband signal pattern. Several types of partial discharges occur over a wide area. If the partial discharge sensor 100 is implemented as a UHF antenna, a signal in the UHF band (300 ~ 3000 MHz) is introduced into the broadband analyzer 240. Since the broadband analyzer 240 diagnoses the occurrence and type of partial discharge by analyzing patterns of all signals belonging to the broadband, almost all types of partial discharge occurring in the broadband can be found without exception. However, since such a wideband analysis technique processes all signals belonging to a wideband within a limit capacity of data due to hardware performance, the resolution of signal processing is low, and noise may be determined as partial discharge. Accordingly, in order to reduce the diagnosis error of the partial discharge by the broadband analysis unit 240, the spectrum analysis unit 250 is used.

The spectrum analysis unit 250 extracts a signal for each frequency domain of a multi-spectrum from the partial discharge signal, and analyzes the frequency characteristics of the frequency domain for the partial discharge signal corresponding to each partial discharge type diagnosed by the broadband analysis unit 240 do.

That is, the spectrum analysis unit 250 extracts a multispectral frequency domain signal from a signal input through the distribution unit 220 in synchronization with the reference time signal output from the time synchronization unit 170. Then, the spectrum analysis unit 250 analyzes the frequency characteristics of the frequency domain with respect to the partial discharge signal corresponding to each type diagnosed by the broadband analysis unit 240.

Unlike the broadband analysis unit 240, the spectrum analysis unit 250 divides a broadband signal into multiple spectrums and can concentrate and analyze only signals belonging to the frequency domain of each spectrum. The error of is low. However, since the spectrum analysis technique cannot analyze the signal in the frequency domain of another spectrum while analyzing the signal in the frequency domain of a specific spectrum, the signal related to this partial discharge cannot be seen even though the actual partial discharge occurs. Omission of partial discharge diagnosis may occur.

Therefore, in this embodiment, the advantages and disadvantages between the broadband analysis technique and the spectrum analysis technique can be complemented by adopting a multifunctional linkage technique that diagnoses partial discharge using a broadband analysis technique and verifies the diagnosis result using a spectrum analysis technique. have.

The group speed analysis unit 260 calculates the group speed for each mode of each type of partial discharge signal diagnosed by the broadband analysis unit 240 by using the time difference between sensors calculated by the time difference analysis unit 230, and calculates the group speed for each mode. The group velocity is used to detect the location of each type of partial discharge.

The group speed analysis unit 260 calculates a group speed for each mode of each type of partial discharge signal diagnosed by the broadband analysis unit 240 by synchronizing with the reference time signal output from the time synchronization unit 270, and calculates the group speed for each mode. To track the location of each type of partial discharge. In addition, the group speed analysis unit 260 calculates the group speed for each mode in the frequency domain of the partial discharge signal according to the frequency characteristics analyzed by the spectrum analysis unit 250, and uses the calculated group speed for each mode in the frequency domain. You can also search for the location of the partial discharge. As such, the group velocity analysis unit 260 may detect the location of the partial discharge by interlocking with the operation of the spectrum analysis unit 250 in addition to the operation of the broadband analysis unit 240.

Specifically, the group speed analysis unit 260 calculates the group speed of the first mode electromagnetic waves for the first type partial discharge signal diagnosed by the broadband analysis unit 240 and at the same time calculates the group speed of the first type partial discharge signal. The group velocity of the mode electromagnetic wave is calculated, and the time difference between the group velocity of the first mode electromagnetic wave and the group velocity of the second mode electromagnetic wave is calculated to search for a location of the first type of partial discharge. Since the group speed analysis unit 260 only searches for the location of the partial discharge, it is not possible to know whether the searched location is the location of the intrinsic partial discharge, and if several types of partial discharges occur simultaneously, what type of It is not known whether the location of partial discharge occurred. Accordingly, in this embodiment, the group speed analysis technique is linked to the broadband analysis technique and the spectrum analysis technique to determine whether or not a partial discharge occurs and the type of partial discharge, and then search for the location of the partial discharge. Accordingly, it is possible to track the location of a known type of partial discharge, and thus, it is possible to diagnose the partial discharge and prevent deterioration and failure of the power device due to a defect in the power device due to a location error.

Meanwhile, each of the communication unit 210, the distribution unit 220, the time difference analysis unit 230, the broadband analysis unit 240, the spectrum analysis unit 250, the group speed analysis unit 260, and the time synchronization unit 270 Each may be implemented by a processor required to execute a program on the device. In this way, each of the communication unit 210, the distribution unit 220, the time difference analysis unit 230, the broadband analysis unit 240, the spectrum analysis unit 250, the group speed analysis unit 260, and the time synchronization unit 270 are physically It may be implemented by each independent configuration, or may be implemented in a form that is functionally divided within one processor. For example, the broadband analysis unit 240 may be implemented by a computer executed by software called HMI (Human Machine Interface) developed suitable for broadband analysis of partial discharge signals. In addition to these functions, the computer manages setting and managing the partial discharge diagnosis function of the partial discharge position detecting device 200, managing the generation of pulses flowing into the partial discharge position detecting device 200, and reporting events to the partial discharge position detecting device 200. Various functions such as history management, management of information files transmitted to the partial discharge location detection device 200, and management of various reports may be performed together.

The control unit 280 refers to the reference time signal output from the time synchronization unit 270, for the signal detected in the same time zone by the partial discharge sensor 100, the time difference analysis unit 230, the broadband analysis unit 240, The signal processing of each of the spectrum analysis unit 250 and the group velocity analysis unit 260 can be performed simultaneously. In addition, the control unit 280 refers to the reference time signal output from the time synchronization unit 270 between the time difference analysis unit 230, the broadband analysis unit 240, the spectrum analysis unit 250, and the group speed analysis unit 260. By controlling the data transmission of the data, the data synchronization between each analysis unit is made. Accordingly, it is possible to prevent each analysis unit from misrecognizing and processing data of signals detected in different time periods, that is, data of different signals as data of the same signal.

The control unit 280 may include at least one computing device, wherein the computing device is a general-purpose central computing unit (CPU), a programmable device device (CPLD, FPGA) implemented for a specific purpose, and a custom semiconductor computing device. It can be a device (ASIC) or a microcontroller chip.

3 is a detailed configuration diagram of a time difference analysis unit shown in FIG. 2.

Referring to FIG. 3, the time difference analysis unit 230 includes a time filter 231, an A/D converter 232, a Fast Fourier Transformer (FFT) 233, and a time difference calculation unit 234.

The time filter 231 integrates the partial discharge signal for each period of a predetermined time, and calculates the speed of the partial discharge signal for each period of a predetermined time.

The partial discharge signal has a very rapid and short rise and fall time of the waveform, and the noise signal has a characteristic that the rise and fall speed of the waveform is slower than that of the partial discharge signal. Accordingly, the time filter 231 removes noise from the partial discharge signal by using the difference in speed between the partial discharge signal and the noise signal. That is, the time filter 231 passes a high-speed signal having a speed equal to or higher than the reference speed corresponding to the minimum speed of the partial discharge signal, based on the speed of the signal output from the distribution unit 220, and makes a speed slower than the reference speed. It blocks low-speed signals. Here, the reference speed corresponding to the minimum speed of the partial discharge signal may be, for example, 1 ns or less. The time filter 231 may calculate the speed of the signal output from the distribution unit 220 for each period of a predetermined time by integrating the signal output from the distribution unit 220 for each period of a predetermined time.

The A/D converter 232 samples the analog signal output from the time filter 231 at a constant frequency and converts it into a digital signal. In this case, the A/D converter 232 may convert the analog signal into a digital signal based on the reference time signal output from the time synchronization unit 270.

The FFT 233 calculates a frequency component for each section by Fourier transforming the signal output from the A/D converter 232 for each section of a predetermined time.

The time difference calculation unit 234 calculates a time difference from the pulse signal of 1 ns or less calculated by the FFT 233.

On the other hand, in the partial discharge signal, unlike other signals, the rise and fall times of the waveform change very rapidly in nanoseconds, so the components of the time difference analysis unit 230, for example, the time filter 231 , A/D converter 232, etc. may be implemented as circuit elements capable of high-speed signal processing.

4 is a detailed configuration diagram of a broadband analysis unit shown in FIG. 2.

Referring to FIG. 4, the broadband analysis unit 240 includes a frequency filter 241, an amplification unit 242, a peak holder 243, an A/D (Analog/Digital) converter 244, and an operation unit 245. do.

The frequency filter 241 extracts a broadband signal from the partial discharge signal.

The frequency filter 241 extracts a broadband signal including various types of partial discharge signals from the partial discharge signal input through the distribution unit 220, and thus a frequency component corresponding to noise from the output signal of the partial discharge sensor 100 Remove. Here, the broadband may be set to 500 ~ 1500 MHz, which is a frequency band covering several types of partial discharge signals. On the other hand, those of ordinary skill in the art to which this embodiment belongs may understand that a wider band may be set or a narrower band may be set according to the surrounding environment of the power device.

Specifically, the frequency filter 241 blocks a low frequency band below the minimum frequency of the partial discharge signal and a high frequency band above the maximum frequency of the partial discharge signal with respect to the signal detected by the partial discharge sensor 100 and passes the remaining bands. , From the output signal of the partial discharge sensor 100, a frequency component corresponding to high frequency noise and a frequency component corresponding to low frequency noise can be simultaneously removed. The frequency filter 241 may be implemented as a band pass filter (BPF) in which the maximum and minimum frequencies of the partial discharge signal are cut off frequencies.

The amplification unit 242 amplifies the wideband signal output from the frequency filter 241.

In general, since the signal detected by the partial discharge sensor 100 is a very weak signal, the frequency filter 241 also outputs a very weak signal. If such a weak signal is processed as it is, it is affected by noise a lot, and the accuracy of partial discharge diagnosis is degraded. In addition, when a weak signal is amplified in a general amplifier, the signal output from the frequency filter 241 may be severely deformed by noise generated inside the amplifier, which is an active element. Accordingly, the amplification unit 242 may be implemented as a low-noise amplifier for amplifying a weak signal. In addition, the amplification unit 242 is a low-noise amplifier that amplifies the signal output from the frequency filter 241 with a constant amplification degree, and the amplification degree that changes according to the control of the controller 280, that is, the operation unit 245 It may be composed of a variable amplifier that amplifies with an amplification degree that varies according to the average size of a signal output from.

Meanwhile, the average size of the signal detected by the partial discharge sensor 100 is not constant due to various factors such as the type of partial discharge, the size of the partial discharge, and the type of the sensor. Accordingly, the amplification unit 242 has the frequency filter 241 so that the average size of the signal output from the frequency filter 241 becomes more constant regardless of the average size of the signal detected by the partial discharge sensor 100. It may play a role of correcting the size of the signal output from the partial discharge sensor 100 according to the characteristics of the output signal.

The peak holder 243 detects and holds the peak of the broadband signal amplified by the amplifying unit 242 for a predetermined time, extracts the instantaneous maximum value of the amplified broadband signal, and extracts the instantaneous maximum value based on the extracted instantaneous maximum value. Outputs a signal with an enlarged time scale. In this case, the peak holder 243 may synchronize with the reference time signal output from the time synchronization unit 270 to calculate a signal with an enlarged time scale.

As such, the peak holder 243 may calculate a signal with an enlarged time scale by expanding the scale of the time axis while the peak of the amplitude axis of the signal amplified by the amplifying unit 242 is fixed. In this case, a log detector may be used to detect the peak of the amplified signal. In the partial discharge signal, unlike other signals, the rise and fall time of the waveform changes very rapidly in nanoseconds, so by holding the peak of the amplified signal in the amplification unit 242, the A/D converter 244 ), etc., may be possible to process a partial discharge signal.

The A/D converter 244 converts an analog signal output from the peak holder 243 into a digital signal. In this case, the A/D converter 244 may convert the analog signal into a digital signal by synchronizing with the reference time signal output from the time synchronization unit 270.

The operation unit 245 analyzes the pattern of the signal output from the A/D converter 244, and diagnoses the occurrence and type of partial discharge based on the characteristics of the analyzed signal pattern. The operation unit 245 may transmit diagnostic data including whether the partial discharge occurs and the type of the partial discharge to the spectrum analysis unit 250 and the group speed analysis unit 260.

The operation unit 245 analyzes the pattern of the signal output from the A/D converter 244 by calculating the characteristic values of the signal output from the A/D converter 244, and performs a manual operation based on the characteristic of the analyzed signal pattern. Or it can automatically diagnose the occurrence and type of partial discharge.

Representative examples of a data format for representing the pattern characteristics of a partial discharge signal include Phase Resolved Pulse Sequence (PRPS) data and Phase Resolved Partial Discharge (PRPD) data. Accordingly, the calculation unit 245 may calculate PRPS data by allocating a phase, a magnitude, and a period of a signal output from the A/D converter 244 to each of the coordinate axes of the 3D space. In addition, the operation unit 245 may calculate PRPD data by allocating a phase, a magnitude, and a frequency of a signal output from the A/D converter 244 to each of the coordinate axes of the 3D space. Also, the operation unit 245 may add or subtract the data phase of the partial discharge analysis format so that the data phase of the partial discharge analysis format is synchronized with the phase of the partial discharge synchronization signal. Here, the partial discharge synchronization signal refers to a signal that fluctuates in synchronization with the commercial frequency of the power supply. Since partial discharge has a characteristic that is repeatedly generated every period of the commercial frequency of the power supplied to the power equipment, a signal that fluctuates in synchronization with the commercial frequency of the power supply is used to determine whether a partial discharge has occurred in the power equipment. I can.

The signal output from the A/D converter 244 is a digital signal expressed as a waveform of the maximum instantaneous value so that the calculation process by the calculation unit 245 is possible, and the calculation unit 245 is a signal in the form of A based on the partial discharge synchronization signal. At least one of a pattern characteristic of a signal expressed by at least two characteristic values of a phase, a magnitude, a period, and a frequency of the signal output from the /D converter 244 and a phase, a magnitude, a period, and a frequency of a certain type of partial discharge signal. By comparing and calculating the pattern characteristics of the partial discharge signal represented by two characteristic values, the occurrence and type of partial discharge can be automatically diagnosed. Representative techniques for automatic diagnosis of partial discharge include a neural network technique that finds patterns embedded in data through repetitive learning processes, and a fuzzy technique that implements expert identification capabilities in the form of computer algorithms. .

The broadband analysis unit 240 configured as described above transmits the data calculated by the operation unit 245 to the display device 300 through the communication unit 210. Then, the display device 300 converts the signal pattern data transmitted from the broadband analysis unit 240 into an image signal, and converts the partial discharge pattern into PRPS, PRPD, defect type, partial discharge location (cm), and Δt between sensors. It can be displayed as a value (ns), a distance between sensors (cm), etc. In the partial discharge pattern graph, two characteristic values of the phase, magnitude, period, and frequency of the partial discharge signal can be displayed in a two-dimensional form, and three characteristic values of the phase, magnitude, period, and frequency of the partial discharge signal are three-dimensional. It can also be displayed in a form. By identifying the partial discharge pattern graph displayed on the display device 300 by an expert in the field of partial discharge, the occurrence and type of partial discharge can be diagnosed. At this time, when information representing the diagnosis result is input by the expert into the calculation unit 245, the calculation unit 245 manually determines the occurrence and type of the partial discharge generated in the broadband from the generation and type information of the partial discharge input by the expert. Can be diagnosed. In addition, the display device 300 may output a warning image or a warning sound when the pattern characteristic of the signal output from the A/D converter 244 is determined as partial discharge.

On the other hand, in the partial discharge signal, unlike other signals, the rise and fall times of the waveform change very rapidly in nanoseconds, so components of the broadband analyzer 240, for example, the peak holder 243 , A/D converter 244, etc. may be implemented as circuit elements capable of high-speed signal processing.

5 is a detailed configuration diagram of a spectrum analysis unit shown in FIG. 2.

Referring to FIG. 5, the spectrum analysis unit 250 includes a frequency filter 251, a frequency domain extraction unit 252, a peak holder 253, an A/D converter 254, and an operation unit 255.

The frequency filter 251 extracts a broadband signal from the partial discharge signal.

The frequency filter 251 removes a frequency component corresponding to noise from the output signal of the partial discharge sensor 100 by extracting a broadband signal including various types of partial discharge signals from the signal output from the distribution unit 220 do. Specifically, the frequency filter 251 blocks a low frequency band below the minimum frequency of the partial discharge signal and a high frequency band above the maximum frequency of the partial discharge signal with respect to the signal detected by the partial discharge sensor 100 and passes the remaining bands, A frequency component corresponding to high frequency noise and a frequency component corresponding to low frequency noise may be simultaneously removed from the output signal of the partial discharge sensor 100.

The frequency domain extraction unit 252 extracts a multispectral frequency domain signal from the signal output from the frequency filter 251. In this case, the frequency domain extraction unit 252 may be synchronized with the reference time signal output from the time synchronization unit 270 to extract a multispectral frequency domain signal. The signal output from the frequency filter 251 is a broadband signal of 300 to 3000 MHz and may be divided into multiple spectra. Accordingly, the frequency domain extracting unit 252 may sequentially extract signals for each frequency domain of each spectrum using a sequential frequency scanning technique using a voltage controlled oscillator (VCO) and a phase locked loop (PLL) circuit.

The peak holder 253 sequentially calculates a frequency domain signal whose time scale is enlarged for each frequency domain signal of each spectrum. That is, the peak holder 253 detects the peak of the frequency domain signal extracted by the frequency domain extractor 252 by synchronizing with the reference time signal output from the time synchronization unit 270, and The peak is held for a predetermined period of time and the instantaneous maximum value of the frequency domain signal is extracted, thereby calculating a frequency domain signal with an enlarged time scale. The peak holder 253 may calculate a frequency domain signal with an enlarged time scale by increasing the scale of the time axis while fixing the peak of the amplitude axis of the frequency domain signal extracted by the frequency domain extracting unit 252. The peak holder 253 sequentially calculates a frequency domain signal whose time scale is enlarged for each frequency domain signal of each spectrum.

The A/D converter 254 converts an analog signal output from the peak holder 253 into a digital signal. At this time, the A/D converter 254 converts the analog signal into a digital signal by synchronizing with the reference time signal output from the time synchronization unit 270. That is, the A/D converter 254 sequentially converts analog signals output from the peak holder 253 to digital signals for signals for each frequency domain of each spectrum.

The operation unit 255 analyzes the frequency characteristics of the frequency domain signal output from the A/D converter 254. The operation unit 255 transmits the analyzed frequency domain information to the group speed analysis unit 260. Here, the frequency domain information may be data indicating a frequency domain of a signal determined as an intrinsic partial discharge.

The calculation unit 255 calculates the characteristic values of the frequency domain signal output from the A/D converter 254, so that the frequency in the frequency domain for the partial discharge signal corresponding to each partial discharge type diagnosed by the broadband analysis unit 240 Analyze the characteristics. In this case, the operation unit 255 sequentially analyzes the frequency characteristics of signals for each frequency domain of each spectrum. Specifically, the calculation unit 255 calculates data representing the frequency characteristics of the frequency domain signal output from the A/D converter 254 from the characteristic values of the frequency domain signal output from the A/D converter 254, so that A The frequency characteristics of the frequency domain signal output from the /D converter 254 are analyzed. The calculation unit 255 may calculate data representing characteristics of the frequency domain signal by allocating the frequency and size of the frequency domain signal output from the A/D converter 254 to each of the coordinate axes of the two-dimensional space.

On the other hand, the frequency domain signal output from the A/D converter 254 is a digital signal expressed as a waveform of an instantaneous maximum value so that the calculation process by the calculation unit 255 is possible, and the calculation unit 255 provides such a frequency domain signal. Error in partial discharge diagnosis based on the pattern of the broadband signal analyzed by the broadband analyzer 240 by comparing and calculating characteristic values such as the frequency and magnitude of the signal and the frequency and magnitude of various types of partial discharge signals. You can also automatically determine whether or not. The frequency domain extraction unit 252, the peak holder 253, the A/D converter 254, and the calculation unit (until the verification of partial discharge diagnosis based on the pattern of the broadband signal analyzed by the broadband analysis unit 240 is completed). 255) Each process sequentially processes signals for each frequency domain of each spectrum.

When it is determined that there is no error in the partial discharge diagnosis analyzed by the broadband analysis unit 240, the frequency domain of the partial discharge signal can be specified from the frequency domain signal output from the A/D converter 254 at the time when this determination is derived. And, by transferring information on this frequency domain to the group speed analysis unit 260, the group speed analysis unit 260 tracks the location of the occurrence of the signal diagnosed as partial discharge according to the analysis result of the broadband analysis unit 240 Is done.

On the other hand, the partial discharge signal, unlike other signals, because the rise and fall time of the waveform very rapidly changes in several nano seconds (nano seconds), the components of the spectrum analysis unit 250, for example, the peak holder 253 , A/D converter 254, etc. may be implemented with circuit elements capable of high-speed signal processing.

6 is a detailed configuration diagram of a group speed analysis unit shown in FIG. 2.

6, the group speed analysis unit 260 includes a time filter 261, an A/D converter 262, an FFT 263, a group speed calculation unit 264, a position search unit 265, and an operation unit 266. Includes.

The time filter 261 integrates the partial discharge signal for each period of a predetermined time, and calculates the speed of the partial discharge signal for each period of a predetermined time.

The partial discharge signal has a very rapid and short rise and fall time of the waveform, and the noise signal has a characteristic that the rise and fall speed of the waveform is slower than that of the partial discharge signal. Accordingly, the time filter 261 removes noise from the partial discharge signal by using the difference in speed between the partial discharge signal and the noise signal.

That is, the time filter 261 passes a high-speed signal having a speed equal to or higher than the reference speed corresponding to the minimum speed of the partial discharge signal, based on the speed of the signal output from the distribution unit 220, and makes a speed slower than the reference speed. It blocks low-speed signals. Here, the reference speed corresponding to the minimum speed of the partial discharge signal may be, for example, 1 ns or less. The time filter 261 can calculate the speed of the signal output from the distribution unit 220 for each period of a predetermined time by integrating the signal output from the distribution unit 220 for each period of a predetermined time.

The A/D converter 262 samples the analog signal output from the time filter 261 at a constant frequency and converts it into a digital signal. At this time, the A/D converter 261 converts the analog signal into a digital signal by synchronizing with the reference time signal output from the time synchronization unit 270.

The FFT 263 calculates a frequency component for each section by Fourier transforming the signal output from the A/D converter 262 for each section of a predetermined time.

The partial discharge signal travels inside, outside, or a power line of a power device in the form of electromagnetic waves. These electromagnetic waves travel in the form of a combination of modes having a specific distribution of an electromagnetic field. Examples of the electromagnetic wave mode include a TEM (Transverse Electromagnetic) mode, a TEx (x=1,2,3,4) (TransverseElectric) mode, and various other modes. The propagation speed of electromagnetic waves for each mode is different. Electromagnetic waves in the TEM mode propagate at the optical speed C, and other modes proceed at the group speed v _g of Equation 2 below. That is, the partial discharge signal in the form of electromagnetic waves traveling inside or outside the power equipment or traveling through the power line can be said to be a combination of electromagnetic waves of various modes having different group speeds.

[Equation 2]

Here, C is the speed of light, fc is the natural cutoff frequency of electromagnetic waves for each mode, and f is the frequency of the electromagnetic waves for each mode at the time of arrival of the power device.

Electromagnetic waves in certain modes must be greater than or equal to their own cut-off frequency in order to travel inside or outside the power equipment or power lines.

On the other hand, if the partial discharge occurs at a distance L away from the partial discharge sensor 100, the partial discharge sensor 100 first detects the fastest electromagnetic wave in the TEM mode among the electromagnetic waves for each mode of the partial discharge signal, and For electromagnetic waves in the outer mode, the group velocity v _g is detected in the order of rapidity. When the time when the electromagnetic waves of different modes 1 and 2 arrive at the partial discharge sensor 100 are denoted t1 and t2, respectively, and the group speeds of each mode are denoted as v _g1 and v _g2 , the partial discharge sensor 100 The distance L to) can be calculated by Equation 3 below.

[Equation 3]

In order to search for the location of the partial discharge using Equation 3, it is necessary to know the difference t of the arrival time of the electromagnetic waves for each mode and the group velocities v _g1 and v _g2 . It is difficult to calculate the difference t of the arrival time of the electromagnetic waves for each mode from the waveform of the signal detected by the partial discharge sensor 100, and the group speed of the modes excluding the TEM mode has a different value for each frequency as described in Equation 2 Therefore, the group speeds v _g1 and v _g2 can be calculated only by knowing the frequency component f when the electromagnetic wave of each mode reaches the partial discharge sensor 100.

Accordingly, in the present embodiment, the arrival time of each mode and the frequency f of the arrival time are calculated using a short term Fourier transform as shown in Equation 4 below.

[Equation 4]

Here, s(f) is the size of the waveform at the frequency f, and h(-t) is a window function, which determines the resolution of the time axis and the frequency axis. S(t, f) means the magnitude of the frequency component f at the waveform time t. As described above, the short-term Fourier transform decomposes a waveform of a certain signal in a predetermined time unit, and a Fourier transform of the decomposition section can analyze a signal in the time domain and the frequency domain.

As described above, the FFT 263 calculates a frequency component for each section by Fourier transforming the signal output from the A/D converter 262 for each section of a predetermined time.

The group speed calculator 264 calculates the group speed for each mode of the partial discharge signal by using the cutoff frequency and frequency among the frequency components for each section calculated by the FFT 263.

The group speed calculator 264 is a characteristic value of a frequency component for each mode belonging to the frequency domain of the partial discharge signal according to the frequency characteristic analyzed by the spectrum analyzer 250 among the frequency components for each section calculated by the FFT 263 The group velocity for each mode of the partial discharge signal is calculated from Here, the characteristic values of the frequency components for each section calculated by the FFT 263 are the cutoff frequencies and frequencies of each frequency component.

Accordingly, the group speed calculation unit 264 calculates the group speed for each mode of the signal detected by the partial discharge sensor 100 from the cutoff frequency and frequency of the frequency component for each section calculated by the FFT 263 using Equation 2 Calculate.

The location search unit 265 searches for a location where a partial discharge occurs of each partial discharge type based on the difference in group speeds for each mode calculated by the group speed calculation unit 264. At this time, the position search unit 265 is based on the difference in the group speed for each mode calculated by the group speed calculation unit 264 and the difference in time when the frequency component for each mode analyzed by the spectrum analyzer 250 arrives at the partial discharge sensor 100. , The generation position of the partial discharge signal according to the frequency characteristic analyzed by the spectrum analyzer 250 is calculated. That is, the location search unit 265 tracks the generation position of each frequency domain signal by using the clustering time difference of each frequency domain using the clustering of each frequency domain of each spectrum.

The operation unit 266 searches for characteristic values and positions of frequency components for each mode belonging to the frequency domain of the partial discharge signal according to the frequency characteristics analyzed by the spectrum analyzer 250 among the frequency components for each section calculated by the FFT 263 From the partial discharge occurrence location information searched by the unit 265, group velocity data representing the cluster type and location information of frequency components for each mode are calculated. The operation unit 266 transmits the group rate data to the display device 300 through the communication unit 210. Then, the display device 300 may convert the group velocity data calculated by the operation unit 266 into an image signal, and display a graph indicating cluster form and location information of frequency components for each mode.

If the group speed analysis unit 260 configured as described above is implemented as a device capable of processing signals at nano speed, the location of the partial discharge can also be calculated in nanoseconds, enabling very precise location search. do.

9 is a flowchart illustrating a method of detecting a location of a partial discharge for wireless according to an embodiment of the present invention.

Referring to FIG. 9, the partial discharge position detection apparatus 200 receives a partial discharge signal from each partial discharge sensor 100 installed in each power device (S910).

Then, the partial discharge position detection apparatus calculates a time difference between the sensors from the partial discharge signal (S920), and extracts a broadband signal from the partial discharge signal to diagnose the occurrence and type of the partial discharge (S930). At this time, the partial discharge position detection apparatus may diagnose the pattern and type of the partial discharge by analyzing the pattern of the broadband signal.

When step S930 is performed, the partial discharge position detection device calculates the group speed for each mode of the diagnosed partial discharge signal using the time difference between the sensors, and uses the calculated group speed for each mode to calculate the position of each type of partial discharge. Is detected (S940).

As described above, the system and method for detecting the partial discharge position for the bell wireless according to an embodiment of the present invention include a time difference analysis function between sensors, a broadband analysis function, and a group speed analysis function, so that the signal diagnosed as partial discharge is By searching for the location of occurrence, it is possible to prevent the location of the occurrence of a signal other than the type of partial discharge signal diagnosed according to the broadband analysis technique from being mistaken as the location of the occurrence of the partial discharge.

Although the present invention has been described with reference to the embodiments shown in the drawings, this is only illustrative, and those of ordinary skill in the field to which the technology pertains, various modifications and other equivalent embodiments are possible. I will understand.

Therefore, the true technical protection scope of the present invention should be determined by the following claims.

200: partial discharge position detection device
210: communication department
220: distribution unit
230: time difference analysis unit
240: broadband analysis unit
250: spectrum analysis unit
260: group speed analysis unit
270: time synchronization unit
280: control unit

Claims (15)

A plurality of partial discharge sensors installed in a power device and detecting a partial discharge signal generated from the power device; And
Receive partial discharge signals from the plurality of partial discharge sensors, calculate a time difference between sensors using the partial discharge signals, extract a broadband signal to diagnose the occurrence and type of partial discharge, and use the time difference between the sensors. A partial discharge position detection device that calculates a group velocity for each mode of the diagnosed partial discharge signal of each type and detects a position where each type of partial discharge occurs by using the calculated group velocity for each mode;
Wireless partial discharge location detection system comprising a.
The method of claim 1,
By receiving at least one of a time difference between sensors, a pattern of a broadband signal, and a partial discharge location from the partial discharge position detection device, PRPD, PRPS, defect type, partial discharge location (cm), time difference between sensors (ns), and sensor A wireless partial discharge position detection system, further comprising a display device that displays at least one of the distances (cm).
The method of claim 1,
The partial discharge position detection device,
A time difference calculating unit for calculating a time difference between sensors from the partial discharge signal;
A broadband analysis unit for extracting a broadband signal from the partial discharge signal, analyzing the pattern of the extracted broadband signal, and diagnosing the occurrence and type of the partial discharge; And
Comprising a group speed analysis unit for calculating the group speed for each mode of the diagnosed partial discharge signal using the time difference between the sensors, and detecting the location of each type of partial discharge using the calculated group speed for each mode. Partial discharge position detection system for wireless.
The method of claim 3,
Further comprising a spectrum analysis unit for extracting a signal for each frequency domain of a multi-spectrum from the partial discharge signal, and analyzing the frequency characteristics of the frequency domain for the partial discharge signal corresponding to each type diagnosed by the broadband analysis unit. Wireless partial discharge position detection system.
The method of claim 4,
The Gunseokdo analysis unit,
Partial discharge location detection for wireless, characterized in that by calculating the time difference of the group speed for each mode in the frequency domain of the partial discharge signal according to the frequency characteristics analyzed by the spectrum analyzer, and searching for the location of the partial discharge of each partial discharge type. system.
A communication unit for receiving a partial discharge signal from each partial discharge sensor installed in each power device;
A time difference calculating unit for calculating a time difference between sensors from the partial discharge signal;
A broadband analyzer for extracting a broadband signal from the partial discharge signal, analyzing the pattern of the extracted broadband signal, and diagnosing the occurrence and type of the partial discharge; And
A group speed analysis unit for calculating a group velocity for each mode of the diagnosed partial discharge signal using the time difference between the sensors, and detecting a location of each type of partial discharge using the calculated group velocity for each mode;
Partial discharge position detection device comprising a.
The method of claim 6,
Further comprising a spectrum analysis unit for extracting a signal for each frequency domain of a multi-spectrum from the partial discharge signal, and analyzing the frequency characteristics of the frequency domain for the partial discharge signal corresponding to each type diagnosed by the broadband analysis unit. Partial discharge position detection device.
The method of claim 6,
The Gunseokdo analysis unit,
The partial discharge position detection device, characterized in that by calculating a time difference of the group speeds for each mode in the frequency domain of the partial discharge signal according to the frequency characteristic analyzed by the spectrum analyzer, and searching for a partial discharge occurrence position of each partial discharge type.
The method of claim 6,
A partial discharge position detection apparatus further comprising a time synchronization unit generating a reference time signal that fluctuates at a constant period and providing the time difference calculation unit, the broadband analysis unit, and the group speed analysis unit as a synchronization signal.
The method of claim 6,
The broadband analysis unit,
A frequency filter for extracting a broadband signal from the partial discharge signal;
An amplifying unit amplifying the broadband signal output from the frequency filter;
A peak that detects and holds the peak of the amplified broadband signal for a predetermined period of time to extract an instantaneous maximum value of the amplified broadband signal, and outputs a signal whose time scale is enlarged based on the extracted instantaneous maximum value holder;
An A/D converter converting an analog signal output from the pig holder into a digital signal; And
And a calculation unit for analyzing a pattern of a signal output from the A/D converter and diagnosing the occurrence and type of partial discharge based on the characteristics of the analyzed signal pattern.
The method of claim 6,
The spectrum analysis unit,
A frequency filter for extracting a broadband signal from the partial discharge signal;
A frequency domain extracting unit for extracting a multispectral frequency domain signal from the signal output from the frequency filter;
A peak holder for sequentially calculating a frequency domain signal whose time scale is enlarged for each frequency domain signal of each spectrum;
An A/D converter converting an analog signal output from the pig holder into a digital signal; And
Partial discharge position detection apparatus comprising a calculation unit for analyzing the frequency characteristics of the frequency domain signal output from the A/D converter.
The method of claim 11,
The calculation unit,
Partial discharge position detection, characterized in that by comparing the characteristic values of the frequency domain signal output from the A/D converter with the frequency characteristic values of various types of partial discharge signals, and determining whether or not there is an error in the partial discharge diagnosis of the broadband analyzer. Device.
The method of claim 6,
The group speed analysis unit,
Calculate a group velocity of a first mode electromagnetic wave for each type of partial discharge signal according to the diagnosis of the broadband analyzer, calculate a group velocity of a second mode electromagnetic wave for a corresponding type of partial discharge signal, and the group velocity of the first mode electromagnetic wave And a partial discharge position detection apparatus for searching for a location of a corresponding type of partial discharge from a time difference between the group speed of the second mode electromagnetic wave.
The method of claim 6,
The group speed analysis unit,
A time filter for integrating the partial discharge signal for each period of a predetermined time and calculating a speed of the partial discharge signal for each period of a predetermined time;
An A/D converter converting a signal output from the time filter into a digital signal;
An FFT unit for calculating a frequency component for each section by Fourier transforming the signal output from the A/D converter for each section of a predetermined time;
A group speed calculation unit for calculating a group speed for each mode of the partial discharge signal using a cutoff frequency and a frequency among frequency components for each section calculated by the FFT unit; And
And a position search unit for searching for a location of each type of partial discharge signal based on the calculated difference in group speed for each mode.
In the method for the partial discharge position detection device to detect the partial discharge position,
Receiving a partial discharge signal from each partial discharge sensor installed in each power device;
Calculating a time difference between sensors from the partial discharge signal;
Extracting a broadband signal from the partial discharge signal, analyzing the pattern of the extracted broadband signal, and diagnosing the occurrence and type of partial discharge; And
Calculating a group velocity for each mode of the diagnosed partial discharge signal using the time difference between the sensors, and detecting a location of each type of partial discharge using the calculated group velocity for each mode;
Wireless partial discharge location detection method comprising a.

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