基于小波分析的故障诊断

Fault diagnosis based on wavelet analysis

对信号进行特征提取，是故障诊断的关键．突变信号往往对应着某类故障，如果能对突变信号进行有效识别，就能达到故障诊断的目的．对如何从混有噪声的振动信号中有效识别出突变信号，本文进行了一系列方法研究．研究结果表明，小波反对称变换和对称变换能有效地对突变信号进行识别，在故障诊断中具有实用价值．

Signal feature extrachon is a key to fault diagnosis. Abrupt signal is often connected with a kind of faults. If abrupt signal can be efficiently recognized, a fault can be diagnosed comparatively easily For how to effectively idenhfy abrupt signals from vibrahon signals with noise, a series of researches is carried out. Research results show that antisymmetric and symmetric wavelet transforms can efficiently recognize abrupt signals, and are really valuable in fault diagnosis.