Paper Title:
Intelligent Fault Diagnosis Method Based on Reliability Analysis
  Abstract

This paper presents a novel fault diagnosis method which overcomes the shortcomings of traditional approaches. It uses dynamic fault tree model for reliability analysis. All minimal cut sequences are generated via a new modular method, while the diagnostic importance factor (DIF) of components and minimal cut sequences are calculated using discrete-time Bayesian network. Also, we introduce the cost of diagnostic importance factor (CDIF) for components to evaluate the influences of the test costs, and combine it with minimal cut sequences’ DIF to determine the order of the system diagnosis. Finally, an example is given to demonstrate the effectiveness of this method.

  Info
Periodical
Edited by
Shengyi Li, Yingchun Liu, Rongbo Zhu, Hongguang Li, Wensi Ding
Pages
487-491
DOI
10.4028/www.scientific.net/AMM.34-35.487
Citation
R. X. Duan, J. L. Tu, D. C. Dong, "Intelligent Fault Diagnosis Method Based on Reliability Analysis", Applied Mechanics and Materials, Vols. 34-35, pp. 487-491, 2010
Online since
October 2010
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