Fault Diagnosis of Analog Circuit Based on PCA and PNN

In order to solve the problem with identification of fault in analog circuit,a fault diagnosis method for analog circuits was proposed based on principal component analysis(PCA)and probabilistic neural network(PNN).In this technique,PCA was applied to extract features of the collected information about fault in analog circuit,and the extracted fault features were normalized and input into PNN for training and identification of classified fault modes.Experimental results showed that this method was effective and had higher fault diagnosis rate.