The application of wavelet-based neural network for gear fault diagnosis

Aimed at the gear fault diagnosis, a diagnosis system which based on the wavelet 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 input the NN. The testing result indicates that this method can accurately diagnose the fault of gear and has extensive application foreground.