Research of fault diagnosis method of analog circuit based on improved support vector machines

This paper propose improved support vector machine algorithm. The algorithm includes preprocessing the sample training set, improvement of the binary tree classification algorithm and incremental sample learning algorithm. Considering the specific classification precision requirements of analog circuit fault diagnosis, the three algorithms are integrated, and achieve good results. The simulation of analog circuit demonstrate that the improved algorithm has higher classification precision and faster diagnosis speed compared to traditional support vector machine algorithm.