神经网络技术与小波分析相结合的故障诊断方法

Method of Fault Diagnosis Based on Neural Networks and Wavelet Analysis

提出了一种将神经网络技术与小波分析相结合的故障诊断方法,对诊断对象进行时域信号采集,通过小波分析,获得所需参数,再将此参数作为神经网络的输入量,从而达到故障诊断的目的。

A technique of fault diagnosis based on wavelet transform analysis and neural networks was presented. Through collecting the signal in time scale,the parameter features were obtained by wavelet analysis which can be the inputs vector of BP neural networks, so that the system can accurately diagnose the fault.