针对齿轮的故障诊断,提出了一种基于小波特征提取和BP神经网络的诊断系统,利

用小波分解后各频段能量的分布作为特征向量输入神经网络。试验表明该方法能准确地诊断出齿

轮的故障,具有广泛的应用前景

- Aimed at the gear fault diagnosis, a diagnosis systemwhich based on thewavelet for picking up character and

BP neural network are proposed, the energy distributing of each frequency segment which is decomposed by wavelet are

treated as the eigenvector and inputtheNN. The testingresult indicates thatthismethod can accurately diagnose the fault

of gear and has extensive application foreground.