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

Abstract:

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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.

Info:

Periodical:

Edited by:

Helen Zhang and David Jin

Pages:

850-854

DOI:

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

Citation:

X. J. Wu et al., "Intermittent Fault Diagnosis Method of Power System Based on HMM-SVM Characteristics", Applied Mechanics and Materials, Vols. 63-64, pp. 850-854, 2011

Online since:

June 2011

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$35.00

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