Pattern Recognition of XLPE Cable Partial Discharge Base on Gray Image

LIAO Rui-jin; YOU Deng-liang; ZHOU Quan; LIU Ling

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Pattern Recognition of XLPE Cable Partial Discharge Base on Gray Image

更新时间：2025-04-26

- Pattern Recognition of XLPE Cable Partial Discharge Base on Gray Image
- High VoltageApparatus Issue 2, Pages: 85-87+91(2007)
- 作者机构：
  
  1. 重庆大学高电压与电工新技术教育部重点实验室
  2. 重庆大学高电压与电工新技术教育部重点实验室重庆400044
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM246
- Published：2007
- 稿件说明：
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[1]廖瑞金,犹登亮,周湶,刘玲.交联聚乙烯电缆局部放电灰度图像的模式识别[J].高压电器,2007(02):85-87+91.

LIAO Rui-jin, YOU Deng-liang, ZHOU Quan, et al. Pattern Recognition of XLPE Cable Partial Discharge Base on Gray Image[J]. High voltageapparatus, 2007, (2): 85-87+91.
[1]廖瑞金,犹登亮,周湶,刘玲.交联聚乙烯电缆局部放电灰度图像的模式识别[J].高压电器,2007(02):85-87+91. DOI：

LIAO Rui-jin, YOU Deng-liang, ZHOU Quan, et al. Pattern Recognition of XLPE Cable Partial Discharge Base on Gray Image[J]. High voltageapparatus, 2007, (2): 85-87+91. DOI：

摘要

局部放电模式识别是判断电气设备绝缘状况的重要方法之一。分形理论在局部放电特征的提取上是一种行之有效的方法

通过构造交联聚乙烯（XLPE）电缆局部放电信号的灰度图像

采用逐段搜索确定无标度区域

并采用盒维数与信息维数为特征量作为人工神经网络的输入

对局部放电缺陷进行模式识别。研究表明分形特征在局部放电模式识别上具有良好的效果。

Abstract

Partial discharge pattern recognition is an important way to assess insulation condition of electrical equipment.Fractal theory is effective to extract features of PD.Based on the construction of gray image of XLPE PD signals

this paper determines the scaleless range by piecewise search

selects the box-dimension and information dimension as the input variables for artificial neural network and carries out PD pattern recognition.Results indicate the extracted fractal characteristics can meet the requirements of PD pattern recognition.

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