Intermittent Fault Diagnosis Method of Power System Based on HMM-SVM Characteristics

Xiao Juan Wu; Bao Feng Zhang; Xiao Long Zhang

doi:10.4028/www.scientific.net/AMM.63-64.850

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 63-64Intermittent Fault Diagnosis Method of Power...

Intermittent Fault Diagnosis Method of Power System Based on HMM-SVM Characteristics

Abstract:

For avoiding false-alarm and diagnosing intermittent fault, based on the relationship analysis between intermittent fault and false-alarm, the intermittent fault diagnosis model of power system based on HMM (Hidden Markov Model)-SVM (Support Vector Machine) characteristics was constructed in this paper. By means of this model, the intermittent fault diagnosis procedure of power system based on HMM-SVM characteristics was built. Finally, the intermittent fault diagnosis simulation system of power system based on HMM-SVM characteristics was demonstrated and validated by QUEST software. The result showed that the proposed method was available, and can provided guidance for avoiding false-alarm and diagnosing intermittent fault, and support for stable performance in power system.

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Periodical:

Applied Mechanics and Materials (Volumes 63-64)

Pages:

850-854

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.63-64.850

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Online since:

June 2011

Authors:

Xiao Juan Wu, Bao Feng Zhang, Xiao Long Zhang

Keywords:

Fault Diagnosis, HMM, Support Vector Machine (SVM)

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