Efficient Fault Diagnosis Method in Analog Circuits Based on Neural Network

A method of fault diagnosis in analog circuits based on neural network is presented. Building the fault dictionary, the feature of fault response of analog circuits is abstracted and fed into neural network. Then the fault diagnosis in analog circuits is realized. Detailed simulation process and results propose that the difficult identification problem in analog circuits is resolved well, faults are classified well, and the diagnosis results are satisfied.