基于小波变换的鼠笼式异步电动机故障诊断

摘要

Wavelet Transform has a good localization capability in the time domain and frequency domain , especially being sensitive to the mutation point of the signal . Due to the multiresolution properties , it can be close to the spectrum , and has outstanding effect on Extraction of fault signal . This paper discussed wavelet analysis and its application in fault diagnosis , and verified the accuracy of the detection method of wavelet transform in squirrel-cage asynchronous motor fault .%小波变换在时域和频域都具有良好的局部化能力，尤其是对信号的突变点很敏感，其多分辨率性质可逼近细化频谱，对故障信号提取有突出的作用。本文通过算例论述了小波分析在故障诊断中的研究和应用，验证了小波变换方法检测鼠笼式异步电动机故障的准确性。