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Application of Hidden Markov Model to Fault Diagnosis of Power Electronic Circuit

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2 Author(s)
Yan Ren-Wu ; Electr. Eng. & Automatization Coll., Fuzhou Univ., Fuzhou ; Cai Jin-Ding

This paper presents a new method of applying auto-regressive (AR) model and hidden Markov model (HMM) to fault diagnosis of power electronic circuit. AR coefficients is used as Exacting the features of the states of the circuit firstly .Then fault modes are trained and recognized by hidden Markov model. Finally, a three-phase SCR rectifier circuit with inductive load is used as an example to illustrate the new approach of fault diagnosis. The experimental results show that the method is feasible and effective.

Published in:

Testing and Diagnosis, 2009. ICTD 2009. IEEE Circuits and Systems International Conference on

Date of Conference:

28-29 April 2009