摘要
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 is presented in the paper, the signal is measured in time scale, the scale features are got by wavelet analysis which can be the inputs vector of BP neural networks so that the system can accurately diagnosc the fault.
出处
《矿业工程》
CAS
2006年第6期64-65,共2页
Mining Engineering
关键词
神经网络
小波分析
故障诊断
neural networks
wavelet analysis
faults diagnosis
