• DocumentCode
    2793565
  • Title

    A Bayesian approach for health monitoring of critical systems

  • Author

    Zuffranieri, Jason V. ; Robinson, David G.

  • Author_Institution
    Risk & Reliability Anal., Sandia Nat. Labs., Albuquerque, NM
  • fYear
    2005
  • fDate
    5-12 March 2005
  • Firstpage
    3641
  • Lastpage
    3646
  • Abstract
    Bayesian medical monitoring is a concept based on using real-time performance-related data to make statistical predictions about a patient´s future health. The following paper discusses the fundamentals behind the medical monitoring concept and the application to monitoring the health of nuclear reactors. Necessary assumptions are discussed regarding distributions and failure-rate calculations. A simple example is performed to illustrate the effectiveness of the methods. The methods perform very well for the thirteen subjects in the example, with a clear failure sequence identified for eleven of the subjects
  • Keywords
    belief networks; condition monitoring; fission reactor monitoring; nuclear power stations; Bayesian approach; critical systems; failure-rate calculations; health monitoring; medical monitoring; nuclear reactors; statistical predictions; Bayesian methods; Biomedical monitoring; Condition monitoring; Degradation; Inductors; Laboratories; Patient monitoring; Performance analysis; Risk analysis; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Aerospace Conference, 2005 IEEE
  • Conference_Location
    Big Sky, MT
  • Print_ISBN
    0-7803-8870-4
  • Type

    conf

  • DOI
    10.1109/AERO.2005.1559669
  • Filename
    1559669