• DocumentCode
    2117246
  • Title

    Distributed real-time model-based diagnosis

  • Author

    Chung, S.H. ; Barrett, A.

  • Author_Institution
    Artificial Intelligence & Space Syst. Labs., Massachusetts Inst. of Technol., Cambridge, CA, USA
  • Volume
    1
  • fYear
    2003
  • fDate
    8-15 March 2003
  • Firstpage
    1
  • Abstract
    While past flight projects involved flying single spacecraft in isolation, over forty proposed future missions involve multiple coordinated spacecraft. This paper presents an approach to onboard anomaly diagnosis that combines the simplicity and real-time guarantee of a rule-based diagnosis system. This system also provides a clear path to distributing the diagnosis process across a number of processors on one or more spacecraft.
  • Keywords
    diagnostic expert systems; distributed processing; real-time systems; space vehicles; diagnosis process; flight projects; model-based diagnosis; multiple coordinated spacecraft; onboard anomaly diagnosis; rule-based diagnosis system; Artificial intelligence; Extraterrestrial measurements; Isolation technology; Laboratories; Planets; Proposals; Real time systems; Space missions; Space technology; Space vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2003. Proceedings. 2003 IEEE
  • Conference_Location
    Big Sky, MT, USA
  • ISSN
    1095-323X
  • Print_ISBN
    0-7803-7651-X
  • Type

    conf

  • DOI
    10.1109/AERO.2003.1235065
  • Filename
    1235065