现代电子技术2017，Vol.40Issue(5)：147-150,4.DOI:10.16652/j.issn.1004-373x.2017.05.037
基于独立主成分分析的PWM逆变电路的故障诊断
PWM inverter circuit fault diagnosis based on independent principal component analysis
摘要
Abstract
The fault of the PWM inverter circuit has the characteristics of malfunction and nonlinear correlation,and it is difficult to detect its accuracy. In order to improve the fault diagnosis performance of the PWM inverter circuit,the PWM inverter circuit fault diagnosis method based on independent principal component analysis is proposed. The measuring method of the cir-cuit output signal is used to detect the fault state feature to perform the conditioning and anti-aliasing filtering for the acquired signal of the PWM inverter circuit,and extract the independent principal component characteristics of the signal,so as to recog-nize the fault. The simulation results show that the method has better accurate detection performance for PWM inverter circuit fault diagnosis,and the fault diagnosis is reliable and stable.关键词
独立主成分分析/PWM逆变电路/故障诊断/信号测量Key words
independent principal component analysis/PWM inverter circuit/fault diagnosis/signal measurement分类
信息技术与安全科学引用本文复制引用
刘玲..基于独立主成分分析的PWM逆变电路的故障诊断[J].现代电子技术,2017,40(5):147-150,4.
