论文部分内容阅读
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.
In bearing vibration test, it is often necessary to analyze the system feedback signal to determine the bearing failure, but the feedback signal is often with greater noise, which makes it difficult to extract the fault signal, and the fault signal is mostly abrupt signal, The traditional Fourier analysis can not detect the abrupt signal because it can not be localized in the time domain. Therefore, the wavelet analysis which can be localized in time and frequency can be used. With the advantage of its time window and frequency window width adjustable and multi-scale analysis, Fault diagnosis obtained good results.With the introduction of wavelet theory analysis and the selection of basis wavelet for wavelet analysis to lay a theoretical foundation and provide wavelet analysis method.