• DocumentCode
    2566238
  • Title

    Aerospace applications of Weibull and Monte Carlo simulation with importance sampling

  • Author

    Bavuso, Salvatore J.

  • Author_Institution
    NASA Langley Res. Center, Hampton, VA, USA
  • fYear
    1997
  • fDate
    13-16 Jan 1997
  • Firstpage
    208
  • Lastpage
    210
  • Abstract
    Recent developments in reliability modeling and computer technology have made it practical to use the Weibull time-to-failure distribution to model the system reliability of complex fault-tolerant computer-based systems. These system models are becoming increasingly popular in space system applications as a result of mounting data that support the decreasing Weibull failure distribution and the expectation of increased system reliability. This presentation introduces the new reliability modeling developments and demonstrates their application to a novel space system application. The application is a proposed guidance, navigation and control system for use in a long duration manned spacecraft for a possible Mars mission. Comparisons to the constant failure rate model are presented and the ramifications of doing so are discussed
  • Keywords
    Monte Carlo methods; Weibull distribution; aerospace computing; aerospace simulation; failure analysis; fault tolerant computing; reliability; reliability theory; special purpose computers; Mars mission; Monte Carlo simulation; Weibull time-to-failure distribution; aerospace applications; complex fault-tolerant computer-based systems; guidance/navigation/control system; importance sampling; manned spacecraft; space system applications; system reliability; Application software; Distributed computing; Fault trees; Mathematical model; Monte Carlo methods; Power system modeling; Power system reliability; Predictive models; Space technology; Sparse matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium. 1997 Proceedings, Annual
  • Conference_Location
    Philadelphia, PA
  • ISSN
    0149-144X
  • Print_ISBN
    0-7803-3783-2
  • Type

    conf

  • DOI
    10.1109/RAMS.1997.571708
  • Filename
    571708