Application of FCM-HMM-SVM based mixed method for fault diagnosis of power electronic circuit

Because of the problems of fault diagnosis in the power electric circuit and the merit of FCM is efficient in clustering and the merit of hidden Markov model (HMM ) that have the ability to deal with continuous dynamic signals and the merit of support vector machine (SVM ) with perfect classifying ability, FCM-HMM-SVM based diagnosing method is presented. With the features extracted from the circuit, based on the trained FCM algorithm, HMM was used to calculate the matching degree among the unknown signal and the circuit´s states, which formed the features for SVM to diagnosis. The experimental results show that the proposed method has a high correct rate.