Paper Title:
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.

  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, B. F. Zhang, X. L. Zhang, "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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