• DocumentCode
    2542538
  • Title

    A survey of fault diagnosis technology [for space power systems]

  • Author

    Riedesel, Joel

  • Author_Institution
    Martin Marietta, Denver, CO, USA
  • fYear
    1989
  • fDate
    6-11 Aug 1989
  • Firstpage
    183
  • Abstract
    Existing techniques and methodologies for space power system fault diagnosis are surveyed. The techniques run the gamut from theoretical artificial intelligence work to conventional software engineering applications. They are shown to define a spectrum of implementation alternatives where tradeoffs determine their position on the spectrum. Various tradeoffs include execution time limitations and memory requirements of the algorithms as well as their effectiveness in addressing the fault diagnosis problem
  • Keywords
    aerospace computing; artificial intelligence; fault location; power system computer control; space vehicle power plants; algorithms; artificial intelligence; execution time; fault diagnosis; fault location; memory; power system computer control; software engineering; space power systems; Artificial intelligence; Automation; Circuit faults; Fault diagnosis; NASA; Power system faults; Power system management; Space technology; Switches; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Energy Conversion Engineering Conference, 1989. IECEC-89., Proceedings of the 24th Intersociety
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/IECEC.1989.74460
  • Filename
    74460