电气传动2013，Vol.43Issue(8)：59-64,6.
盲信号分离在静止式中频电源故障分析中的应用
Application of Blind Signal Separation in Analysis of Fault in Static Medium Frequency Power Supply
摘要
Abstract
The fault signals of static medium frequency power supply cannot be analyzed effectively by traditional method of signal process because of fractional harmonics.In allusion to their limitation,the blind signal separation (BSS) which separate source signals fast and accurately was proposed.The fast independent component analysis (FastICA)algorithm was used to separate the mixtures.And the principal component analysis (PCA) whitening was used to reduce the influence of noise,and improve the separate precision.Then the second order blind identification (SOBI) algorithm was used to separate the fluctuated voltage signals.Based on that,the amplitudes of fault signals were achieved by simultaneous overdetermined equations system.Simulation results verify that the FastICA and SOBI algorithms are highly effective and correct.关键词
静止式中频电源/盲信号分离/FastICA算法/SOBI算法/PCA预白化Key words
static medium frequency power supply/ blind signal separation(BSS)/ fast in-dependent component analysis(FastICA)/second order blind identification(SOBI)/principal component analysis(PCA)whitening分类
信息技术与安全科学引用本文复制引用
朱俊杰,黄高明,聂子玲,马伟明,吴延好..盲信号分离在静止式中频电源故障分析中的应用[J].电气传动,2013,43(8):59-64,6.基金项目
国家自然科学基金(51147009,50737004,51077131) （51147009,50737004,51077131）
