关键词: 模拟电路, 故障诊断, 隐马尔科夫模型, 最小二乘支持向量机

Abstract: In order to improve fault diagnosis rate of analog circuits and solve the problem of analog circuit complexity, a new innovative fault diagnosis method which combined Least Squares Support Vector Machine（LSSVM） with Hidden Markov Model（HMM） is proposed. Firstly, the features of circuit fault are extracted, and then HMM and LSSVM are combined to build fault diagnosis model of analog circuits, and finally the simulation experiments are carried out to test the performance of mole. The results show that compared with other models, the proposed model has improved fault diagnosis rate and fastened the speed of fault diagnosis of analog circuits.

Key words: analog circuit, fault diagnosis, Hidden Markov Model（HMM）, Least Squares Support Vector Machine（LSSVM）