摘要
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.
出处
《上海理工大学学报》
EI
CAS
2000年第2期137-140,共4页
Journal of University of Shanghai For Science and Technology
