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GIS partial discharge on-line monitoring mode identification method and GIS partial discharge on-line monitoring mode identification system

A partial discharge and pattern recognition technology, applied in the direction of testing dielectric strength, etc., to achieve the effect of simple recognition process, improved recognition efficiency, and high recognition efficiency

Active Publication Date: 2015-11-11
XUJI GRP +3
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Problems solved by technology

[0004] The purpose of the present invention is to provide a GIS partial discharge on-line monitoring pattern recognition method and system to solve the current problem of GIS partial discharge on-line monitoring in-situ diagnosis application to improve the accuracy and recognition efficiency of GIS partial discharge pattern recognition

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  • GIS partial discharge on-line monitoring mode identification method and GIS partial discharge on-line monitoring mode identification system
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  • GIS partial discharge on-line monitoring mode identification method and GIS partial discharge on-line monitoring mode identification system

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[0023] The specific embodiments of the present invention will be further described below in conjunction with the accompanying drawings.

[0024] Embodiment of GIS Partial Discharge Online Monitoring Pattern Recognition Method

[0025] Such as image 3 As shown, the implementation steps of the method include:

[0026] 1) Process the received partial discharge data to obtain the amplitude, discharge times and phase of the partial discharge data;

[0027] 2) Generate PRPS three-dimensional spectrogram according to discharge times, amplitude and phase, and generate PRPD spectrogram, v-φ spectrogram and n-φ spectrogram on the basis of PRPS three-dimensional spectrogram;

[0028] 3) For the PRPD spectrogram, v-φ spectrogram and n-φ spectrogram, extract the characteristic quantity of the partial discharge data;

[0029] 4) Carry out person correlation calculation between the characteristic quantity of partial discharge data and the characteristic quantity of each partial discharge...

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Abstract

The invention relates to a GIS partial discharge on-line monitoring mode identification method and a GIS partial discharge on-line monitoring mode identification system. The method comprises the following specific steps: processing received partial discharge data to obtain the amplitude, number of discharges and phase of the partial discharge data; generating a PRPS three-dimension spectrogram according to the number of discharges, amplitude and phase, and further generating a PRPD spectrogram, a v-phi spectrogram, and an n-phi spectrogram; extracting the characteristic value of the partial discharge data based on the PRPD spectrogram, the v-phi spectrogram and the n-phi spectrogram; and carrying out person correlation calculation on the characteristic value of the partial discharge data and the characteristic value of each partial discharge data type in a sample library one by one to identify the type of partial discharge. The GIS partial discharge on-line monitoring mode identification system of the invention comprises an acquisition unit and a data processing unit. The method and the system of the invention have the advantages of simple identification process and high identification rate, and have great value of on-site engineering application.

Description

technical field [0001] The invention relates to the field of intelligentization of high-voltage equipment, in particular to a GIS partial discharge online monitoring pattern recognition method and system. Background technique [0002] GIS partial discharge monitoring is one of the important technical fields of GIS intelligence and condition monitoring. It can detect insulation faults in the operation of GIS equipment in time, provide data and reference for GIS normal operation and condition maintenance, and reduce accidental power outages and maintenance outages. huge loss. The detection of GIS partial discharge signals is based on the detection of various physical and chemical phenomena such as electricity, sound, light, temperature, and gas that accompany the discharge. The electrical detection methods include pulse current method, UHF ultra-high frequency method, and discharge energy method. The UHF ultra-high frequency method has become the preferred method for on-line ...

Claims

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Application Information

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IPC IPC(8): G01R31/12
Inventor 雍明超牧继清周钟郭旭路光辉周水斌王伟杰兰五胜庄益诗吕侠梁武民曾国辉卢声龚东武
Owner XUJI GRP
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