高压电器2012，Vol.48Issue(1)：25-29,34,6.
基于小波分析的故障电弧检测方法
Arc Fault Detection Based on Wavelet Analysis
摘要
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.关键词
故障电弧/多分辨分析/小波分析/特征频段/Birge-Massart策略/阀值/非平稳信号/奇异信号Key words
arc fault/ multiresolution analysis/ wavelet analysis/ characteristic frequency bands/ Birge-Massart strategy/ threshold/ non-stationary signals/ singularity signal分类
信息技术与安全科学引用本文复制引用
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(1):25-29,34,6.基金项目
辽宁省教育厅科技计划项目(2008348). （2008348）
