故障诊断信号的非平稳性  

Resarch on Nonstationarity of Signal in Fault Diagnosis

作　　者：葛淼[1] 玄兆燕[1] 

机构地区：[1]河北联合大学机械工程学院,河北唐山063009

出　　处：《河北联合大学学报（自然科学版）》2012年第1期27-31,共5页Journal of Hebei Polytechnic University:Social Science Edition

摘　　要：利用时间-指数法检测故障诊断中的非平稳性信号,以便对非平稳阶段进行故障处理。利用小波变换对非平稳信号的分解与重构,有针对性地选取有关频带的信息,对重构信号进行频谱分析来提取故障的典型特征。结果表明,时间-指数法很适用于信号的非平稳性判定,利用小波变换对其进行故障诊断是行之有效的。In this paper, the space time-index plots were introduced and used to determine the nonstationarity of the fault diagnosis in order to handle faults in the nonstationary stage. By using the decomposition and reconstruction of wavelet transform for nonstationary signal, the author targeted on the bandwidth and select information with perti- nence, then analyzed the reconstruct signal spectrum for extracting the typical character of fault. The results show that the space time-index method is applicable to judge the nonstationary, the wavelet transform method for fault diagnosis is effective to the nonstationary signal.

关 键 词：故障诊断 小波分析 非平稳性信号 时间-指数法 

分 类 号：TP182[自动化与计算机技术—控制理论与控制工程]