电工技术学报2017，Vol.32Issue(17)：208-217,10.DOI:10.19595/j.cnki.1000-6753.tces.170196
基于小波变换和奇异值分解的串联电弧故障检测方法
Detection Method of Series Arcing Fault Based on Wavelet Transform and Singular Value Decomposition
摘要
Abstract
Wavelet transform was a commonly used method to detect the arcing fault according to the change of the current signal in the circuit.However,it was not easy to distinguish the normal condition from arcing fault when simply using wavelet transform,and there was a lot of redundancy in the results.In order to solve this problem,a new detection method of series arcing fault which based on wavelet transform and singular value decomposition is proposed.An arc generator is used to generate series arcing fault,currents in normal condition and arcing fault are collected under multiple loads.Discrete wavelet transform is firstly used in the collected current signal,and the discrete wavelet coefficient sequence is obtained.Then,based on singular value decomposition of characteristic matrix,the characteristic parameters of current signal are defined and used as the basis of the series arcing fault detection.The experimental results show that it is easy to distinguish the characteristic parameters and there is no cross under normal condition and series arcing fault,thus it is easy to determine the threshold value.The accuracy of the series arcing fault detection is high,and the redundancy of the wavelet transform is greatly compressed.关键词
电弧故障/小波变换/奇异值分解/特征参数/检测Key words
Arcing fault/wavelet transform/singular value decomposition/characteristic parameters/detection分类
信息技术与安全科学引用本文复制引用
卢其威,王涛,李宗睿,王聪..基于小波变换和奇异值分解的串联电弧故障检测方法[J].电工技术学报,2017,32(17):208-217,10.基金项目
国家自然科学基金项目资助(51577187). （51577187）
