小波分析在农业机械故障诊断中的应用

Wavelet Analysis in the Agricultural Machinery Malfunction Diagnose Application

机械故障诊断中常用的方法之一是信号分析。小波分析具有多分辨率分析和时频定位的特点,能够分析信号的局部特征。利用小波分析可以非常准确地分析出信号在什么时刻发生畸变,显示信号的局部特征,有助于信号的实时处理。为此,简述了小波分析的基本原理及其用于故障分析的机理,并就其应用举了实例。

Signal analysis is usually used in mechanical fault diagnose. Wavelet transform has the MRA characteristic and can make time-frequency analysis. So it has extensive application future in fault diagnose of mechanic. This paper introduces the basic theory of wavelet transform and why it can be used in mechanical fault phenomenon and an example is given.