• DocumentCode
    2495688
  • Title

    Aircraft fuel system diagnostic fault detection through expert system

  • Author

    Long, Hao ; Wang, Xinmin

  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    7104
  • Lastpage
    7107
  • Abstract
    For the problem of fault diagnosis of aircraft fuel system, a new method using CLIPS to build expert system is presented in this paper. By building knowledge base, infer engine and using CB tool, the relevant software environment is set up. Consequently the fault diagnostic system of aircraft fuel system is successfully developed. The emulation results prove that the intelligence of expert system works perfectly and the faults of fuel system are diagnosed exactly and fast, furthermore, effective methods of reconstruction can be brought forward in the expert system. It is entirely practicable in aircraft fuel fault diagnosis system.
  • Keywords
    aerospace computing; aircraft; diagnostic expert systems; fault diagnosis; fuel systems; inference mechanisms; C++ Builder; CB tool; CLIPS; aircraft fuel system; diagnostic fault detection; expert system; fault diagnosis; infer engine; knowledge base; Aircraft manufacture; Aircraft propulsion; Diagnostic expert systems; Emulation; Engines; Fault detection; Fault diagnosis; Fuels; Intelligent systems; Software tools; Aircraft Fuel System; Clips; Expert System; Fault Diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594020
  • Filename
    4594020