The Study About Feature Extraction of Analog Circuit Fault Diagnosis Based on Annealing Genetic Hybrid Algorithm

摘要

This paper forms the annealing genetic hybrid algorithm,which is about the genetic algorithm and simulated annealing algorithm improved and integrated. For the problem about feature extraction of nonlinear analog circuit fault diagnosis based on Volterra kernel,using annealing genetic hybrid algorithm to research,put forward annealing genetic intelligent extraction method of circuit fault diagnosis feature,and verified by practical examples. Experiments show that this method has realized effective extraction of circuit diagnostic features and improve the prediction accuracy of fault diagnosis system based on BP neural network.