摘要
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。
Wavelet Transform has a good localization capability inthe time domain and frequency domain ,especially being sensitive to themutation point of the signal. Due to the multiresolution properties, itcan be close to the spectrum, and has outstanding effect on Extractionof fault signal. This paper discussed wavelet analysis and its applicationin fault diagnosis, and verified the accuracy of the detection method ofwavelet transform in squirrel-cage asynchronous motor fault.
出处
《现代制造技术与装备》
2015年第2期43-46,共4页
Modern Manufacturing Technology and Equipment
