Arc Fault Detection Based on Wavelet Analysis

SUN Peng; ZHENG Zhi-cheng; GAO Xiang

doi:10.13296/j.1001-1609.hva.2012.01.008

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Arc Fault Detection Based on Wavelet Analysis

更新时间：2025-04-26

- Arc Fault Detection Based on Wavelet Analysis
- High VoltageApparatus Vol. 48, Issue 1, Pages: 25-29+34(2012)
- 作者机构：
  
  沈阳工业大学特种电机与高压电器实验室
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2012.01.008
  CLC： TM501.2
- Published：2012
- 稿件说明：
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[1]孙鹏,郑志成,高翔.基于小波分析的故障电弧检测方法[J].高压电器,2012,48(01):25-29+34.

SUN Peng, ZHENG Zhi-cheng, GAO Xiang. Arc Fault Detection Based on Wavelet Analysis[J]. High voltageapparatus, 2012, 48(1): 25-29+34.
[1]孙鹏,郑志成,高翔.基于小波分析的故障电弧检测方法[J].高压电器,2012,48(01):25-29+34. DOI： 10.13296/j.1001-1609.hva.2012.01.008.

SUN Peng, ZHENG Zhi-cheng, GAO Xiang. Arc Fault Detection Based on Wavelet Analysis[J]. High voltageapparatus, 2012, 48(1): 25-29+34. DOI： 10.13296/j.1001-1609.hva.2012.01.008.

摘要

为了对配电系统中常见的故障电弧实现快速可靠诊断

进而采取有效的保护措施

笔者提出一种基于多分辨分析的快速小波变换分析提取故障电弧特征频段的诊断方法

利用基于非参数自适应估计理论的Birge-Massart策略进行阀值求解

结合小波阀值降噪解功能对电弧电流进行降噪处理。根据小波分析适于分析非平稳信号的特点

采用该分析方法检测不同类型负载下电弧电流中的奇异信号。综合实验数据

分析表明该方法能有效地实现对故障电弧的诊断。

Abstract

For the purpose of quick and reliable diagnosis of arc fault which occurs frequently in power distribution system and taking effective protection measures

this paper presents a method of analyzing and extracting the characteristic frequency bands of the arc fault current on the basis of the fast wavelet transform with multiresolution analysis.The signal of arc fault current is denoised using the threshold denoising method combining with Birge-Massart threshold value strategy which is based on the non-parametric adaptive estimation theory.The wavelet decomposition

which is suitable for analyzing non-stationary signals

is adopted to detect the singularity of arc fault currents under different types of load.The analysis combining with experiment data shows this method can detect the arc fault effectively.

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Related Author

ZHENG Zhi-cheng

DONG Rong-gang

SUN Peng

PU Ziheng

LI Peng

HE Qing

YANG Ying

WU Tian

Related Institution

Shenyang University of Technology,College of Electrical Engineering

State Grid Hubei Electric Power Research Institute

State Grid Hubei Transmission & Transformation Engineering Co

College of Electrical Engineering and New Energy, China Three Gorges University

Xi’an Jiaotong University

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