A Novel Approach to Electronic Circuit Fault Diagnosis Based on Neural Network and Collinearity

To overcome the deficiencies of single neural network such as low diagnosis precision, long training time and bad generalized ability, an integrated neural network classifier and collinearity method are proposed for electronic circuit fault diagnosis in the paper. The investigation shows that the proposed method has higher classification precision and reliability, and is an ideal pattern classifier. Both simulation and experiment indicate that the proposed method is quite effective and ubiquitous.