高电压技术2017，Vol.43Issue(9)：2896-2902,7.DOI:10.13336/j.1003-6520.hve.20170831017
相关概率小波变换在局部放电检测中的应用
Application of Correlated Probabilistic Wavelet Transform in Partial Discharge Detection
摘要
Abstract
In order to accurately identify the partial discharge signal overwhelmed by noise in high voltage electrical equipment,a method based on correlated probabilistic wavelet transform is proposed for the accurate detection of partial discharge signal in this paper.First,the original signal measured is decomposed by wavelet transform,and the wavelet coefficients of each level is preprocessed according to the difference of correlation between the partial discharge signal and noise signal,and then the multi-scale thresholds at each processed decomposition level are set based on quantile,and the probability which indicates the possibility of each point in the original signal to be partial discharge signal is computed based on these thresholds,finally determine whether there is partial discharge or not according to its probability.The method presented in this paper was applied on the simulation and measurement signal,and compared with the result of traditional wavelet transform.The results show that the method can suppress the noise more effectively in partial discharge online monitoring,which are more comprehensive and reliable to detect weak partial discharge signal in the strong noise background,and has certain engineering value.关键词
局部放电/空域相关/分位数/多尺度阈值/相关概率小波变换Key words
partial discharge/spatial correlation/quantile/multi-scale thresholds/correlated probabilistic wavelet transform引用本文复制引用
贾嵘,赵佳佳,武桦,马喜平,党建..相关概率小波变换在局部放电检测中的应用[J].高电压技术,2017,43(9):2896-2902,7.基金项目
国家自然科学基金(51279161).Project supported by National Natural Science Foundation of China(51279161). （51279161）
