小波分析及其在轴承振动诊断中的应用

在轴承振动测试中,经常需要对系统反馈的信号进行分析,以判断轴承的故障,但反馈信号往往带有较大的噪声,这给故障信号提取带来困难,而且故障信号多是突变信号,传统的Fourier分析由于在时域不能局部化,难以检测到突变信号,故采用可在时频能局部化的小波分析,利用它时窗和频窗宽度可调节以及多尺度分析等优点,在轴承故障诊断中获得良好效果.现介绍小波理论分析和基小波的选取,为小波分析打下理论基础,并提供小波分析方法.

Wavelet analysis and its application in rolling bearing vibration diagnosis

In the test for rolling bearing, signal from system is often analyzed in order to judge malfunction of rolling bearing. But signal from system is violated by noises. It is difficult to acquire malfunction signal that is unexpected. Fourier analysis can not change partly in the time field. So it can not acquire unexpected signal. Wavelet analysis cause time-frequency field smaller. Taking advantage of the adjusting of time window, frequency window and more scale analysis, we can get good result. Wavelet theory and choice of radical wavelet are introduced, and method of wavelet analysis is given in the paper.