国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

A method of analog circuit fault diagnosis based on wavelet neural network is presented in this paper. Faulty components were identified by analyzing impulse response of circuit under Test. According to the multi-resolution analysis method in wavelet theory,the feature information is extracted from the impulse response.Then put the feature vector to network for training,and the diagnosis is realized. This method reduces the number of inputs to neural network ,simplifies its architecture and minimizes training and processing time.The wavelet neutral network and traditional BP network are used respectively in the example circuit for diagnosis. Simulation result indicate that the diagnosis rate of wavelet neural network was higher than BP network,and the convergence speed is fast than BP network.