• DocumentCode
    3739970
  • Title

    A Fault Diagnosis Expert System Based on Aircraft Parameters

  • Author

    Qi Yao;Jian Wang;Guigang Zhang

  • Author_Institution
    High-tech Innovation Center, Inst. of Autom., Beijing, China
  • fYear
    2015
  • Firstpage
    314
  • Lastpage
    317
  • Abstract
    Nowadays the mode of periodic maintenance and routine check are adopted as the dominating maintenance style of domestic aircraft. However, this mode requires a large number of experienced professionals, resulting in the waste of manpower and resources. In this paper, taking the flight data of a certain type of aircraft as the main data source, a fault diagnosis reasoning expert system based on failure mode is proposed through extracting the fault symptom information and the system failure mode. The main work of this system is as following: (1) In this system, The fault tree analysis (FTA) is adopted by the fault diagnosis expert system for fault detection of the aircraft. The FTA can reduce the difficulty of diagnostic reasoning and knowledge acquisition. By combining production-rules and the minimum cuts of the fault tree, the fault mode of the aircraft can be effectively extracted, An optimized reasoning engine is built based on the fault mode, which utilizes the forward reasoning pattern for logical inference. (2) A fault diagnosis expert system, which is based on failure mode, is developed with MFC frame by using MySQL as the database on the Windows 7 platform. This system has been successfully applied to a certain type of domestic aircraft.
  • Keywords
    "Fault diagnosis","Aircraft","Expert systems","Fault trees","Engines","Databases","Maintenance engineering"
  • Publisher
    ieee
  • Conference_Titel
    Web Information System and Application Conference (WISA), 2015 12th
  • Print_ISBN
    978-1-4673-9371-3
  • Type

    conf

  • DOI
    10.1109/WISA.2015.21
  • Filename
    7396657