• DocumentCode
    1769901
  • Title

    A fault recovery procedure based on Bayesian reasoning and decision analysis

  • Author

    Vitelli, Maria Carmela ; Formato, Giuseppina ; Vaccaro, Alfredo

  • Author_Institution
    Dept. of Eng., Univ. of Sannio, Benevento, Italy
  • fYear
    2014
  • fDate
    29-30 May 2014
  • Firstpage
    413
  • Lastpage
    417
  • Abstract
    System fault detection and recovery deals with a decision problem under uncertainty in which we first attempt to isolate a fault according to information we collect regarding the system behavior, and after to recovery from the failure by the application of some recovery actions. In this paper we propose a method which makes use of Bayesian networks to reason under uncertainty and decision analysis to search the best recovery action.
  • Keywords
    Bayes methods; decision theory; failure analysis; fault diagnosis; space research; Bayesian networks; Bayesian reasoning; aerospace systems; decision analysis; fault recovery procedure; system behavior; system fault detection; Bayes methods; Cognition; Data mining; Educational institutions; Fault detection; Probabilistic logic; Uncertainty; Bayesian reasoning; Decision analysis; FDIR; Fault detection; Fault isolation; Fault recovery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Metrology for Aerospace (MetroAeroSpace), 2014 IEEE
  • Conference_Location
    Benevento
  • Type

    conf

  • DOI
    10.1109/MetroAeroSpace.2014.6865960
  • Filename
    6865960
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1769901