APPLICATION OF FRACTALS THEORY TO PD PATTERN RECONGNITION FOR POWER EQUIPMENT

ZHAO Zhongyuan; XIAO Dengming; QIU Yuchang

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APPLICATION OF FRACTALS THEORY TO PD PATTERN RECONGNITION FOR POWER EQUIPMENT

更新时间：2025-04-26

- APPLICATION OF FRACTALS THEORY TO PD PATTERN RECONGNITION FOR POWER EQUIPMENT
- High VoltageApparatus Issue 3, Pages: 18-20(2001)
- 作者机构：
  
  西安交通大学电力设备电气绝缘国家重点实验室!陕西西安710049
- 作者简介：
- 基金信息：
- DOI：
  CLC： TM835
- Published：2001
- 稿件说明：
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[1]赵中原,肖登明,邱毓昌.电力设备局部放电模式识别中分形理论的应用[J].高压电器,2001(03):18-20.

ZHAO Zhongyuan, XIAO Dengming, QIU Yuchang. APPLICATION OF FRACTALS THEORY TO PD PATTERN RECONGNITION FOR POWER EQUIPMENT[J]. High voltageapparatus, 2001, (3): 18-20.
[1]赵中原,肖登明,邱毓昌.电力设备局部放电模式识别中分形理论的应用[J].高压电器,2001(03):18-20. DOI：

ZHAO Zhongyuan, XIAO Dengming, QIU Yuchang. APPLICATION OF FRACTALS THEORY TO PD PATTERN RECONGNITION FOR POWER EQUIPMENT[J]. High voltageapparatus, 2001, (3): 18-20. DOI：

摘要

本文论述了分形理论在局部放电特征提取中的应用

建议将分形理论和小波变换、人工神经网络相结合

可以提高局部放电模式识别的有效性和准确率。研究表明

分形理论在局部放电模式识别中的应用极具发展前景

它可以大大减少特征提取数量

Abstract

The application of fractals to extracting the feature of the partial discharge（PD）is described. This method

when combined with wavelet and neural network

is able to advance the effectiveness and exactness of PD recognition. The prospective development of fractals in PD recognition is presented

with an emphasis on cutting down the amount of the feature.

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