Synthesized Fault Diagnosis Method Based on Fuzzy Logic and D-S Evidence Theory

  • Authors:

  • Guang Yang;Xiaoping Wu

  • Affiliations:

  • Department of Information Security, Naval University of Engineering, 430033 Wuhan, China and Department of Watercraft Engineering, Zhenjiang Watercraft College, 212003 Zhenjiang, China;Department of Information Security, Naval University of Engineering, 430033 Wuhan, China

  • Venue:
  • ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
  • Year:
  • 2009

  • Possibilistic evidence

    ECSQARU'11 Proceedings of the 11th European conference on Symbolic and quantitative approaches to reasoning with uncertainty

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Abstract

Based on fuzzy logic theory, the information fusion technique at decision-making level is introduced for fault diagnosis system. A comprehensive fault diagnosis method based on fuzzy logic and D-S evidence theory is presented by making use of multi-sensor information fusion technique. In this method, the basic reliability distribution of evidence theory is obtained by using fuzzy membership function, which can significantly improve the accuracy of the fault diagnosis through taking full advantages of redundant and complementary fault information from all sensors. Finally the method is applied for fault diagnosis of ship diesel engine. Diagnostic results indicate that the technique is effective, greatly improving the efficiency of fault diagnosis.