KR101641269B1 - Partial discharge diagnostic system using emf sensor and acoustic sensor - Google Patents

Abstract

The present invention relates to a partial discharge diagnosis system using an EMF sensor and an acoustic sensor, and more particularly, to a partial discharge diagnosis system using an EMF sensor and an acoustic sensor, in which, among a converted acoustic signal obtained by mixing signals detected from an EMF sensor and an acoustic sensor, The present invention aims to provide a system capable of quickly and accurately confirming the presence or absence of a fault in a power facility and discharging it and replacing it in a timely manner through diagnosis prevention in advance.
According to an aspect of the present invention, there is provided an apparatus for converting an amplified sound signal into a digital signal by mixing and amplifying a signal detected through an EMF sensor and a signal detected by an acoustic sensor from a power facility into an acoustic signal, ; And a digital filter for dividing a digital signal received from the sound collector into a plurality of signals by a bit unit and a signal passing through a filter bank unit of the sound collector, A diagnostic device; .

Description

TECHNICAL FIELD [0001] The present invention relates to a partial discharge diagnostic system using an EMF sensor and an acoustic sensor,

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a partial discharge diagnosis system using an EMF sensor and an acoustic sensor. More particularly, the present invention relates to a partial discharge diagnosis system using an EMF sensor Converts the amplified sound signal into a digital signal and transmits it to the diagnostic device. The received digital signal is stored and analyzed, and the real-time diagnosis To a technique capable of preventing partial discharge of a power facility and reducing power interruption and loss.

The failure of domestic GIS, EBG and power cable is caused by discharge, repair fault, and faulty manufacturing, which causes the problem of reliability of electric power supply.

At present, it is possible to perform diagnosis such as fault diagnosis and risk assessment by detecting the partial discharge frequency generated when an abnormality occurs in a power facility such as GIS, EBG and power cable by using an EMF sensor and an acoustic sensor.

In recent years, research and development has been carried out in connection with the present invention, and a large number of registered and disclosed in addition to Korean Patent No. 10-0784302 (hereinafter referred to as 'prior art document') have been disclosed.

The above prior art document includes a current detector for dividing the current signal into a plurality of channels according to the magnitude of the current signal inputted from the power device and the current signal divided into the plurality of channels, And a signal processing unit.

This prior art document uses a method of checking whether a power facility is faulty by a current signal inputted from a power facility. However, since a current signal may be changed due to an abnormal current flowing from the outside, There was a limit that could not be confirmed.

Korean Patent No. 10-0784302.

SUMMARY OF THE INVENTION The present invention has been made in view of the above problems, and it is an object of the present invention to provide a method and apparatus for real-time diagnosis of a discharge frequency for an acoustic signal of a specific frequency band among acoustic signals obtained by mixing signals detected from an EMF sensor and an acoustic sensor, The present invention aims to provide a system capable of quickly and accurately confirming the presence or absence of a fault in a power facility and discharging it, and capable of replacing the power facility at an appropriate time through diagnosis prevention.

According to an aspect of the present invention, there is provided a partial discharge diagnosis system using an EMF sensor and an acoustic sensor. The partial discharge diagnosis system uses an EMF sensor and a signal detected from an acoustic sensor, An audio pick-up device for amplifying and converting the amplified acoustic signal into a digital signal; And a digital filter for dividing a digital signal received from the sound collector into a plurality of signals by a bit unit and a signal passing through a filter bank unit of the sound collector, A diagnostic device; .

The sound collector may further include: an EMF sensor unit for detecting a current due to a discharge frequency generated in the power equipment and converting the detected current into a voltage; An acoustic sensor unit for detecting sound generated in the power equipment and converting the detected signal into a voltage; A signal processing unit for mixing signals output from the EMF sensor unit and the acoustic sensor unit; A noise eliminator for removing noise from a frequency of a mixed signal through the signal processing unit using an ANR (Ambient Noise Reduction) scheme; An amplifying unit for converting the signal removed through the noise removing unit into sound and amplifying the signal; A filter bank unit for passing an acoustic signal of a specific frequency band among the amplified acoustic signals using a plurality of band pass filters; And an ADC unit for converting the analog sound signal having passed through the filter bank unit into a digital signal; And a control unit.

The EMF sensor unit may include a first sensor module that induces a current by a discharge frequency generated in the power facility using a sensor including a coil and an inductor; A current detection module for detecting a current induced through the sensor module; A first amplification module for amplifying a current detected through the current detection module; And a first voltage conversion module for converting the current amplified through the amplification module into a voltage; And a control unit.

The sound sensor unit may include a second sensor module for detecting sounds generated in a power facility; A second amplifying module for amplifying the sound detected through the second sensor module; And a second voltage conversion module converting a signal amplified through the second amplification module into a voltage; And a control unit.

Further, the signal processing unit is characterized by applying Fast Fourier Transform (FFT) and a Hamming Window.

The diagnostic apparatus may further include: an interface unit for receiving a digital signal from the sound collector; An audio processing unit for converting the digital signal received through the interface unit into digital data and analog sound signals; The digital data and the analog sound signal converted by the audio processing unit are classified according to power facilities and the digital data is subdivided into a plurality of subdivided data by a bit unit and a signal bank that passes through the filter bank unit of the sound collector, A diagnostic unit for diagnosing abnormality data through time series and frequency series analysis of digital data and outputting real time diagnosis results; A database unit for storing a diagnosis result through the diagnosis unit; An alarm unit for generating an alarm sound when abnormality data is generated and transmitting the location and fault detail information of the electric power facility to the manager terminal; And a display unit for displaying a diagnosis result through the diagnosis unit in a waveform and a spectrogram of an acoustic signal; And a control unit.

The diagnosis unit may further include: a classification module for classifying the digital data and the analog sound signal converted by the audio processing unit by power equipment; A subdivision module for subdividing the converted digital data into bits and subdividing the subdivided digital data into a plurality of subdivisions so as to have a reference range for each signal passing through the filter bank section of the sound collector to monitor data values, ; And a diagnostic module for determining the location and fault information of the electric power facility when an abnormality occurs, when the abnormality occurs, ; And a control unit.

The diagnosis module outputs the diagnosis results to each electric power facility by time, month, and day, and provides the result.

According to the present invention as described above, it is possible to quickly cope with the occurrence of partial discharge, and prevent maintenance and maintenance of the electric power facilities and replace the accident facility at an appropriate time.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a general schematic diagram illustrating a partial discharge diagnosis system using an EMF sensor and an acoustic sensor according to the present invention. FIG.
2 is a detailed configuration diagram of an EMF sensor unit and an acoustic sensor unit according to the present invention.
3 is a detailed configuration diagram of a diagnosis unit according to the present invention;
4 is a view showing an example in which digital data according to the present invention is subdivided into channels according to the number of signals passed through a filter bank unit.
FIG. 5 illustrates an example of monitoring data by subdividing the digital data according to the present invention into channels according to the number of signals that have passed through the filter bank unit.
FIG. 6 is an exemplary diagram showing abnormal data through the magnitude and spectrogram of a signal according to the present invention. FIG.
7 illustrates an example of abnormal data generated in an actual power plant according to the present invention.

Specific features and advantages of the present invention will become more apparent from the following detailed description based on the accompanying drawings. It is to be noted that the detailed description of known functions and constructions related to the present invention is omitted when it is determined that the gist of the present invention may be unnecessarily blurred.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS The present invention will now be described in detail with reference to the accompanying drawings.

The partial discharge diagnosis system using the EMF sensor and the acoustic sensor according to the present invention will be described with reference to FIGS. 1 to 7. FIG.

FIG. 1 is a block diagram conceptually showing a partial discharge diagnosis system (S) using an EMF sensor and an acoustic sensor according to the present invention, and includes a sound collector 100 and a diagnostic apparatus 200 as shown in FIG. .

The sound collector 100 mixes the signal detected from the electric power facility with the signal detected from the acoustic sensor and converts the signal into an acoustic signal and converts the amplified acoustic signal into a digital signal. 1, an EMF sensor unit 110, an acoustic sensor unit 120, a signal processing unit 130, a noise removing unit 140, an amplification unit 150, a filter bank unit 160, and an ADC unit 170).

The EMF sensor unit 110 detects a current due to a discharge frequency generated in a power facility such as a gas insulated switchgear (GIS), an EBG and a power cable, converts the detected current into a voltage, A first current sensor module 111, a current detection module 112, a first amplification module 113, and a first voltage conversion module 114.

Specifically, the first sensor module 111 uses a sensor composed of a coil and an inductor to induce a current by a discharge frequency generated in a power facility.

The current detection module 112 detects the current induced through the sensor module 111.

The first amplification module 113 amplifies the detected current through the current detection module 112.

The first voltage conversion module 114 converts the amplified current through the amplification module 113 into a voltage.

The acoustic sensor unit 120 detects sound generated in a power facility such as a gas insulated switchgear (GIS), an end box gas (EBG), and a power cable, converts the detected signal into a voltage, A second amplification module 122, and a second voltage conversion module 123, as shown in FIG.

Specifically, the second sensor module 121 is a microphone sensor, and detects sound generated in a power facility.

The second amplification module 122 amplifies the sound detected through the second sensor module 121.

The second voltage conversion module 123 converts the amplified signal through the second amplification module 122 into a voltage.

The signal processing unit 130 mixes the signals output from the EMF sensor unit 110 and the sound sensor unit 120. At this time, the signal processing unit 130 applies fast Fourier transform (FFT) and a Hamming window.

The noise removing unit 140 removes noise from the frequency of the mixed signal through the signal processing unit 130. At this time, the noise removing unit 140 may remove noise using an ANR (Ambient Noise Reduction) method.

The amplifying unit 150 converts the removed signal into a sound through the noise removing unit 140 and amplifies the sound.

The filter bank unit 160 uses a plurality of band pass filters to pass acoustic signals of a specific frequency band among the amplified acoustic signals. That is, the filter bank unit 160 can remove noise by passing only a signal of a specific frequency band.

The ADC unit 170 converts an analog sound signal having passed through the filter bank unit 160 into a digital signal.

The diagnostic apparatus 200 monitors the data values by subdividing the digital signals received from the sound collector 100 into a plurality of bits each having a reference range for each bit passing through the filter bank section of the sound collector 100, 1, an audio processing unit 220, a diagnosis unit 230, a database unit 240, an alarm unit 250, and an alarm unit 250. The interface unit 210, the audio processing unit 220, And a display unit 260.

The interface unit 210 receives a digital signal from the sound collector 100. At this time, the interface unit 210 can interface with the sound collector 100 wirelessly, and can be interfaced using a USB port as a wired line.

The audio processing unit 220 converts the digital signal received through the interface unit 210 into digital data and analog sound signals.

The diagnostic unit 230 classifies the converted digital data and the analog sound signal by the power processing unit 220 and converts the digital data into a bit range and a reference range for each signal that has passed through the filter bank unit of the sound collector 100 And performs a function of monitoring data values and diagnosing abnormal data through time series and frequency series analysis of digital data and outputting real-time diagnosis results. As shown in FIG. 3, 231, a segmentation module 232, and a diagnostic module 233.

Specifically, the classification module 231 classifies and stores the converted digital data and the analog sound signal by the power equipment through the audio processor 220.

4 and 5, the subdivision module 232 subdivides the converted digital data into 10 bits (preferably, 1024 bits) on a bit basis, divides the subdivided digital data into a filter bank portion of the sound collector 100 (-80 (dB) to 120 (dB) by dividing the data value into five levels so as to have a reference range in each signal (per channel) The data values are based on the average of the signal values monitored for 10 seconds in the steady state where there is no problem in the power plant.

The diagnostic module 233 sets a reference value range having the minimum and maximum values for the subdivided digital data. If the range is out of the set reference value range, the diagnostic module 233 determines that the abnormal data is abnormal. .

At this time, the diagnosis module 233 can output the diagnosis results to each electric power facility by time, month, and day.

Meanwhile, the diagnostic module 233 can measure signals in the time domain and the frequency domain as described above, and real-time data transmission is possible through the embedded software and the network can be expanded.

The database unit 240 stores diagnosis results through the diagnosis unit 230 so as to facilitate subsequent analysis.

The alarm unit 250 generates an alarm sound when abnormality data is generated as a result of the diagnosis through the diagnosis unit 230, and transmits the location and the failure history information of the electric power facility to the administrator terminal 10. At this time, the administrator terminal 10 can also generate an alarm according to the generation of abnormal data.

The display unit 260 displays the diagnostic result through the diagnosis unit 230 as a waveform and a spectrogram of the acoustic signal.

Accordingly, when abnormal data is generated as shown in FIG. 6, it can be confirmed that the signal size and spectrogram change in the time domain and the frequency domain.

7, when a partial discharge occurs in a power facility such as a GIS, an EBG, and a power cable, it is possible to confirm that a problem has occurred in the power facility as shown in FIG. 7, And notifies the user of the problem by transmitting the fault location information and the fault information.

The partial discharge diagnosis system S using the EMF sensor and the acoustic sensor according to the present invention detects and amplifies a partial discharge generated in a power facility such as GIS, EBG and power cable, The acoustic signal of the filter bank which passes the acoustic signal of the filter bank is analyzed and diagnosed in real time. Thus, it is possible to cope with the partial discharge promptly and prevent the diagnosis of the partial discharge, and has the advantage of safety of the facility and convenience of replacement.

While the present invention has been particularly shown and described with reference to preferred embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. It will be appreciated by those skilled in the art that numerous changes and modifications may be made without departing from the invention. Accordingly, all such appropriate modifications and changes, and equivalents thereof, should be regarded as within the scope of the present invention.

100: sound collector 200: diagnostic device
110: EMF sensor unit 120: Acoustic sensor unit
130: Signal processing section 140: Noise removing section
150: amplification unit 160: filter bank unit
170: ADC unit 111: first sensor module
112: current detection module 113: first amplification module
114: first voltage conversion module 121: second sensor module
122: second amplification module 123: second voltage conversion module
210: interface unit 220: audio processing unit
230: diagnosis part 240: database part
250: alarm unit 260: display unit
231: Classification module 232: Segmentation module
233: Diagnostic module 10: Administrator terminal

Claims (8)

An audio pick-up device which mixes a signal detected from an electric power facility with an EMF sensor and a signal detected from an acoustic sensor into a sound signal and amplifies the amplified sound signal into a digital signal; And
The digital signal received from the sound collector is subdivided into a plurality of subdivided signals by a bit unit and a signal passed through the filter bank unit of the sound collector so as to have a reference range and the data is monitored through time series or frequency series analysis Diagnostic equipment; / RTI >
The diagnostic apparatus may further comprise:
An interface for receiving a digital signal from the sound collector;
An audio processing unit for converting the digital signal received through the interface unit into digital data and analog sound signals;
The digital data and the analog sound signal converted by the audio processing unit are classified according to power facilities and the digital data is subdivided into a plurality of subdivided data by a bit unit and a signal bank that passes through the filter bank unit of the sound collector, A diagnostic unit for diagnosing abnormality data through time series and frequency series analysis of digital data and outputting real time diagnosis results;
A database unit for storing a diagnosis result through the diagnosis unit;
An alarm unit for generating an alarm sound when abnormality data is generated and transmitting the location and fault detail information of the electric power facility to the manager terminal; And
A display unit for displaying a diagnosis result through the diagnosis unit in waveform and spectrogram of an acoustic signal; And a partial discharge diagnostic system using the EMF sensor and the acoustic sensor.
The method according to claim 1,
The sound collector,
An EMF sensor unit for detecting a current based on a discharge frequency generated in the power equipment and converting the detected current into a voltage;
An acoustic sensor unit for detecting sound generated in the power equipment and converting the detected signal into a voltage;
A signal processing unit for mixing signals output from the EMF sensor unit and the acoustic sensor unit;
A noise eliminator for removing noise from a frequency of a mixed signal through the signal processing unit using an ANR (Ambient Noise Reduction) scheme;
An amplifying unit for converting the signal removed through the noise removing unit into sound and amplifying the signal;
A filter bank unit for passing an acoustic signal of a specific frequency band among the amplified acoustic signals using a plurality of band pass filters; And
An ADC unit for converting an analog sound signal having passed through the filter bank unit to a digital signal; And a partial discharge diagnostic system using the EMF sensor and the acoustic sensor.
3. The method of claim 2,
The EMF sensor unit includes:
A first sensor module for inducing a current based on a discharge frequency generated in the electric power facility by using a sensor composed of a coil and an inductor;
A current detection module for detecting a current induced through the sensor module;
A first amplification module for amplifying a current detected through the current detection module; And
A first voltage conversion module converting a current amplified through the amplification module into a voltage; And a partial discharge diagnostic system using the EMF sensor and the acoustic sensor.
3. The method of claim 2,
The acoustic sensor unit includes:
A microphone sensor, comprising: a second sensor module for detecting sound generated in a power facility;
A second amplifying module for amplifying the sound detected through the second sensor module; And
A second voltage conversion module converting a signal amplified through the second amplification module into a voltage; And a partial discharge diagnostic system using the EMF sensor and the acoustic sensor.
3. The method of claim 2,
The signal processing unit,
A partial discharge diagnostic system using an EMF sensor and a sound sensor, characterized by applying a Fast Fourier Transform (FFT) and a Hamming Window.
delete The method according to claim 1,
Wherein the diagnosis unit comprises:
A classification module for classifying the digital data and the analog sound signal converted by the audio processing unit by power equipment;
A subdivision module for subdividing the converted digital data into bits and subdividing the subdivided digital data into a plurality of subdivisions so as to have a reference range for each signal passing through the filter bank section of the sound collector to monitor data values, ; And
A diagnostic module that sets a reference value range having minimum and maximum values for the subdivided digital data, determines the data as abnormal data if the range is out of the set reference value range, and confirms the location and failure detail information of the power equipment when the abnormality occurs; And a partial discharge diagnostic system using the EMF sensor and the acoustic sensor.
8. The method of claim 7,
The diagnostic module includes:
Wherein the diagnosis result is outputted to each electric power facility by time, month, and day, and is provided to provide a partial discharge diagnosis system using an EMF sensor and an acoustic sensor.

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