GIS partial discharge fault identification method and system, computer equipment and storage medium

A technology for partial discharge and fault identification, which is applied in the directions of measuring electricity, measuring electrical variables, and testing dielectric strength, etc., to achieve the effect of solid mathematical theory foundation, good promotion ability, and high complexity reduction

Pending Publication Date: 2022-03-11
XI AN JIAOTONG UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to provide a GIS partial discharge fault identification method, system, computer equ

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  • GIS partial discharge fault identification method and system, computer equipment and storage medium
  • GIS partial discharge fault identification method and system, computer equipment and storage medium
  • GIS partial discharge fault identification method and system, computer equipment and storage medium

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Embodiment Construction

[0056] The present invention will be further described in detail below in conjunction with specific embodiments, which are explanations of the present invention rather than limitations.

[0057] Such as figure 1 with figure 2 As shown, the present invention discloses a GIS partial discharge fault identification method, which specifically includes the following steps:

[0058] S1. Signal collection: collect the sample data of each T group of four typical defect discharge signals of burrs, air gaps, suspended electrodes, and free metal particles as the original data;

[0059] S2. Data processing: Perform variational mode decomposition on four typical defect discharge signals to obtain a series of intrinsic mode components;

[0060] S3. Feature extraction: perform feature extraction on the intrinsic mode components to obtain multi-scale permutation entropy;

[0061] S4. Identification and diagnosis: input the multi-scale permutation entropy as a high-dimensional feature vecto...

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Abstract

The invention relates to the technical field of discharge fault identification, and discloses a GIS partial discharge fault identification method, which comprises the following steps: signal acquisition: acquiring multiple groups of various defect discharge signals to form original signals; data processing: performing variational mode decomposition on the original signals to obtain a series of intrinsic mode components; feature extraction: performing feature extraction on the intrinsic mode component to obtain a multi-scale permutation entropy; and identification and diagnosis: inputting the multi-scale permutation entropy as a high-dimensional feature vector into the partial discharge fault classifier model, and outputting a fault result. The variational mode decomposition overcomes the problems of endpoint effect and mode component aliasing of an EMD method, can reduce the time sequence non-stationarity with high complexity and strong nonlinearity, and obtains a relatively stable sub-sequence containing a plurality of different frequency scales through decomposition; the multi-scale permutation entropy is calculated by the intrinsic mode component, and the complexity change of the time sequence under multiple scales can be detected.

Description

technical field [0001] The invention relates to the technical field of discharge fault identification, in particular to a GIS partial discharge fault identification method, system, computer equipment and storage medium. Background technique [0002] Partial discharge is the main symptom of insulation deterioration of electrical equipment, which can effectively reflect the insulation state of electrical equipment, and has become one of the main items of online monitoring of large electrical equipment. Long-term partial discharges can lead to insulation strength reduction or failure. In the worst case, breakdown accidents may occur and cause widespread power outages. Therefore, the diagnosis of partial discharges is very important. UHF detection technology is based on capturing electromagnetic waves emitted from partial discharge locations. It has the advantages of high frequency band, high sensitivity, and strong anti-interference, and is widely used in actual detection. How...

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Application Information

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IPC IPC(8): G01R31/12
CPCG01R31/1227
Inventor 徐怡凡闫静王艳新刘婷亮王占北何蕊昕赵丹晨逯磊
Owner XI AN JIAOTONG UNIV
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