• DocumentCode
    2439793
  • Title

    Prognostics and Health Management A Data-Driven Approach to Supporting the F-35 Lightning II

  • Author

    Brown, Edward R. ; Moore, Erin-Elaine ; McCollom, Neal N. ; Hess, Andy

  • Author_Institution
    BAE Syst. (North America), Worth
  • fYear
    2007
  • fDate
    3-10 March 2007
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    The Joint Strike Fighter (JSF) Program has developed an aggressive vision for and has specified a very stringent set of requirements for a comprehensive Prognostics and Health Management (PHM) system. This vision and the associated specified requirements has resulted in the development of perhaps the most advanced and comprehensive set of diagnostic, prognostic, and health management capabilities yet to be applied to an aviation platform. These PHM capabilities are currently being developed and integrated into the JSF Air System design. This paper will provide a top level overview summary of the current PHM concept, design, and architecture; provide a general capabilities description; and discuss overall program status. Some specific examples of system benefits, design trade-off decisions, and system integration challenges will be discussed. Particular examples of some subsystem prognostic capabilities will also be discussed.
  • Keywords
    aircraft maintenance; military aircraft; F-35 lightning II; Joint Strike Fighter; aircraft health management; aircraft maintenance; aircraft prognostics; aircraft reliability; Aircraft; Engineering management; Fault diagnosis; Knowledge management; Lightning; Logistics; Machine vision; Maintenance; North America; Prognostics and health management; Aircraft reliability; aircraft maintenance; prognostics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2007 IEEE
  • Conference_Location
    Big Sky, MT
  • ISSN
    1095-323X
  • Print_ISBN
    1-4244-0524-6
  • Electronic_ISBN
    1095-323X
  • Type

    conf

  • DOI
    10.1109/AERO.2007.352833
  • Filename
    4161628