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Volume 42 Issue 3
Mar.  2016
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Journal of Beijing University of Aeronautics and Astronautics  > 2016  >  42(3): 506-513.
WEN Tianzhu, XU Aiqiang, WANG Yipinget al. Fault diagnosis method based on extension rule-based reasoning[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(3): 506-513. doi: 10.13700/j.bh.1001-5965.2015.0166(in Chinese)
Citation: WEN Tianzhu, XU Aiqiang, WANG Yipinget al. Fault diagnosis method based on extension rule-based reasoning[J]. Journal of Beijing University of Aeronautics and Astronautics, 2016, 42(3): 506-513. doi: 10.13700/j.bh.1001-5965.2015.0166(in Chinese)
shu

Fault diagnosis method based on extension rule-based reasoning

doi: 10.13700/j.bh.1001-5965.2015.0166

  • Department of Scientific Research, Naval Aeronautical and Astronautical University, Yantai 264001, China

Funds:  Weapons and Equipment Pre-Research Foundation of the PLA General Equipment Department;Special Foundation for "Taishan Scholars" Construction Project
  • Received Date: 24 Mar 2015
  • Publish Date: 20 Mar 2016
    Abstract
  • Aimed at low inference efficiency, difficult knowledge acquisition and unsuitability for multi-fault diagnosis in production rule reasoning method, the fault diagnosis method based on extension rule-based reasoning is studied. Firstly, the expression of extension rule is obtained by combining basic-element theory with production rule. Secondly, the matching degree formula of extension rules is given, and the hierarchical matching method according to the difference of antecedent mode and data type is proposed. Furthermore, the conflict resolution strategy of "first cut, then sort" is put forward for all extension rules which are matched successfully, and the time complexity of this method is discussed. Finally, the whole process of expression, matching, reasoning and conflict resolution for extension rules is explained by an application case, and the results show that this method can be used for the multi-fault diagnosis of airborne equipment.

     

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