Fault diagnosis of analog circuit based on wavelet neural network
Cat Lab · Yiqi yibiao xuebao · 2007
A method of analog circuit fault diagnosis based on wavelet neural network is presented in this paper.Ac- cording to the multi-resolution analysis thought in the wavelet space,a wavelet network model for learning is ob- tained.In the model compactly supported scaling function and wavelets are adopted as the active function.The num- ber of the nodes in the hidden layer of this wavelet neural network can be obtained based on theory criteria,which solves the difficulty of determining the number of nodes in traditional network.This wavelet neural network and tradi- tional BP network are used respectively in the fault diagnosis of an example circuit.Simulation results indicate that the proposed method can advance convergence rate and avoid converging to local minimum effectively.