XLPE cable partial discharge defect type identification method

A kind of partial discharge and defect type technology, applied in the direction of testing dielectric strength, electrical digital data processing, biological neural network model, etc., can solve the problems of shortening cable life, harsh laying environment, frequent line faults

Inactive Publication Date: 2015-07-29
STATE GRID CORP OF CHINA +1
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Problems solved by technology

At the same time, the harsh laying environment and local defects of the cable itself grea

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  • XLPE cable partial discharge defect type identification method
  • XLPE cable partial discharge defect type identification method
  • XLPE cable partial discharge defect type identification method

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Embodiment Construction

[0061] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0062] A method for identifying the type of partial discharge defects in XLPE cables, such as figure 2 shown, including the following steps:

[0063] (1) Perform two-dimensional wavelet threshold noise reduction processing on the collected XLPE cable partial discharge PRPS spectrum. The basic idea is to first normalize the data in the PRPS spectrum:

[0064] x i , j ′ = x i , j - min { x i , j } max { ...

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Abstract

The invention discloses an XLPE cable partial discharge defect type identification method. The method comprises the following steps: obtaining the de-noised XLPE cable ultrahigh frequency PRPS graph; extracting and computing four dimension statistical characteristic parameters and six non-dimension characteristic parameters of the PRPS graph; inputting the characteristic parameters to SOM neural network model; determining the win nerve cell, continuously learning through updating the weight vector of the win nerve cell by the SOM neural network, until the input sample corresponding to the output layer win nerve cell is stable; and outputting the type identification result of the SOM neural network. The XLPE cable partial discharge defect type identification method is capable of overcoming the defects of the traditional method that the convergence speed is slow and the judgment accuracy is bad, satisfying the visual requirement of the fault analysis, and improving the intelligent level of the XLPE cable partial discharge detection system, has the characters of rapid detection speed, simple process and high diagnosis accuracy, and is good for accurately evaluating the running state of the XLPE cable by the maintenance worker.

Description

technical field [0001] The invention relates to the technical field of XLPE cable insulation defect detection, in particular to a type identification method for XLPE cable partial discharge defects. Background technique [0002] In the urban power transmission system, cross-linked polyethylene (XLPE) power cables have become the mainstream equipment for power transmission. Some XLPE cables currently in operation are about to reach the end of their service life, and their insulation problems are becoming more and more significant. At the same time, the harsh laying environment and local defects of the cable itself greatly shorten the life of the cable, resulting in serious insulation aging and frequent line faults. As an important parameter reflecting the insulation state of cable equipment, partial discharge (hereinafter referred to as PD) is closely related to its insulation state. Effective pattern recognition of PD signals can accurately understand and grasp the nature ...

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Application Information

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IPC IPC(8): G01R31/08G01R31/12G06F19/00G06N3/02
Inventor 段玉兵胡晓黎雍军杨波张皓孙晓斌孟海磊
Owner STATE GRID CORP OF CHINA
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