An Analog Circuit Fault Diagnosis Method Based on Integrated Calculation of Intelligent
Sun Yong · Journal of Sichuan University of Science & Engineering · 2009
The tole rance and nonlinearity in analog circuit make its fault diagnosisic difficult.In order to solve this problem,this paper presents an analog circuit fault diagnosis method based on Rough Sets-Neural Network.The method uses Rough Sets attribute reduction,normalization of data and principle component analysis to preprecess input data and generate major ones.Feature vectors under certain states can be classified by using NN,and fault diagnosis is realized.Simulation results on benchmark circuits show that this scheme is feasible and has many powerful features,such as diagnosing and locating faults quickly and exactly.