中国电机工程学报2012，Vol.32Issue(18)：160-166,7.
快速独立分量分析算法在局放超声阵列信号去噪中的应用
Application of the FastICA Algorithm to PD Ultrasonic Array Signal De-noising
摘要
Abstract
According to the requirement of array signals de-noising,it needs to reserve the information of ＂phase difference＂ in the maximum limit.The author utilized complex FastICA algorithm to de-noise the partial discharge（PD） ultrasonic array signals containing noise in this paper.Firstly,the author realized the successive separation of source signal and noise signal in mixed signals through the complex separable matrix U;then adopted the waveform similarity principle to extract separated signals blindly,and got the PD ultrasonic signals after the de-noising;on this basis,according to the sensor array model,the author made physical reconstruction and got array signal model.At the same time,taking array flow pattern＇s average phase angle difference（PAD） as a core,combining the variational trend parameter（VTP）,normalized correlation coefficient（NCC） and the signal to noise ratio（SNR） before and after the de-noising to evaluate the simulation PD ultrasonic array signals synthetically.Finally,the author utilized the FastICA algorithm to de-noise the actual measured PD ultrasonic array signals in the lab.The results show that FastICA algorithm can restrain the white noise in PD ultrasonic array signals,with the premise of high SNR,it can reserve the information belonging to phase difference of array signals in the maximum limit and ensure the good result of direction and location.关键词
局部放电/快速独立分量分析/去噪/超声阵列信号Key words
partial discharge/fast independent component analysis(FastICA)/de-noising/ultrasonic array signals分类
信息技术与安全科学引用本文复制引用
谢庆,张丽君,程述一,侯姗姗,彭莉,律方成..快速独立分量分析算法在局放超声阵列信号去噪中的应用[J].中国电机工程学报,2012,32(18):160-166,7.基金项目
国家863高技术基金项目 （）
河北省自然科学基金 （）
中央高校基本科研业务费专项资金资助项目（09MG09）~~ （）
