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author:

Yan Ren-Wu (Yan Ren-Wu.) [1] | Cai Jin-Ding (Cai Jin-Ding.) [2]

Indexed by:

CPCI-S EI Scopus

Abstract:

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.

Keyword:

AR model fault diagnosis hidden markov model power electronic circuit

Community:

  • [ 1 ] [Yan Ren-Wu]Fuzhou Univ, Elect Engn & Automatizat Coll, Fuzhou 350002, Peoples R China
  • [ 2 ] [Cai Jin-Ding]Fuzhou Univ, Elect Engn & Automatizat Coll, Fuzhou 350002, Peoples R China

Reprint 's Address:

  • 鄢仁武

    [Yan Ren-Wu]Fuzhou Univ, Elect Engn & Automatizat Coll, Fuzhou 350002, Peoples R China

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Source :

IEEE CIRCUITS AND SYSTEMS INTERNATIONAL CONFERENCE ON TESTING AND DIAGNOSIS

Year: 2009

Page: 132-135

Language: English

Cited Count:

WoS CC Cited Count: 1

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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