Fractal Dimension Research of the Partial Discharge UHF Signal in GIS Based on EMD

LI Hua; CHENG Changkui; CHEN Jiao; GAN Jianwei; HU Lin; LI Xinbo

doi:10.13296/j.1001-1609.hva.2014.06.017

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Fractal Dimension Research of the Partial Discharge UHF Signal in GIS Based on EMD

更新时间：2025-04-26

- Fractal Dimension Research of the Partial Discharge UHF Signal in GIS Based on EMD
- High VoltageApparatus Vol. 50, Issue 6, Pages: 104-110(2014)
- 作者机构：
  
  成都供电公司
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2014.06.017
  CLC： TM643
- Published：2014
- 稿件说明：
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[1]李化,程昌奎,陈娇,干建伟,胡琳,李馨博.基于EMD的GIS典型局部放电超高频信号的分形特征提取方法[J].高压电器,2014,50(06):104-110.

LI Hua, CHENG Changkui, CHEN Jiao, et al. Fractal Dimension Research of the Partial Discharge UHF Signal in GIS Based on EMD[J]. High voltageapparatus, 2014, 50(6): 104-110.
[1]李化,程昌奎,陈娇,干建伟,胡琳,李馨博.基于EMD的GIS典型局部放电超高频信号的分形特征提取方法[J].高压电器,2014,50(06):104-110. DOI： 10.13296/j.1001-1609.hva.2014.06.017.

LI Hua, CHENG Changkui, CHEN Jiao, et al. Fractal Dimension Research of the Partial Discharge UHF Signal in GIS Based on EMD[J]. High voltageapparatus, 2014, 50(6): 104-110. DOI： 10.13296/j.1001-1609.hva.2014.06.017.

摘要

笔者提出了一种基于经验模式分解的GIS局放超高频信号分形特征提取与识别方法。该方法通过对局部放电超高频信号进行经验模式分解得到多个固有模态

通过计算固有模态的关联维数作为特征量进行模糊聚类识别。文中设计了4种典型局放模型获取局放超高频信号样本进行验证该方法

结果表明识别正确率最低达到98%。

Abstract

This paper presents a new characteristic quantity extracting method for PD UHF signal based on EMD analysis and fractal dimension. The EMD was used to decomposing the PD UHF signals

it can be obtain the IMF components

the fractal dimension of the IMF is calculated by the G-P method. Four typical GIS PD models are used to generate discharge in experiment

and the PD UHF signals are used as the calculating samplings. The results show that the method presented in the paper have high effectiveness

the lowest recognition rate can be reached at 98%.

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