应用连续小波变换提取机械故障的特征

针对机械信号的特征和小小变换的特点，论证了机械信号的连续小波可分解特性，提出了信号的时间－小波能量谱和尺度－小波能量谱的概念，同时，利用信号经连续Ｍｏｒｌｅｔ小波变换后在时间－尺度域内的不同能量分布特性，依据信号的尺度－小波能量谱分布特性，对螺杆泵减速器和滚动轴承这两类不同机械的信号进行了特征提取，结果表明，应用机械信号的尺度－小波能量谱进行特征提取，更好地利用了小波变换的恒Ｑ带通滤波器性质，可以

Feature Extraction of Mechanical Faults Based on the Continuous Wavelet Transform

When machine is operating under different abnormal states, its characteristics would be reflected by the vibration signal. The mechanical signals can well be decomposed using wavelet transform in time scale domains. Obtained are the scale wavelet power spectrum and time wavelet power spectrum of signal. Characteristics of the signals can be extracted well from the reducer and bearing of different states using the scale wavelet power spectrum for diagnosing the faults in practice.