• DocumentCode
    2379821
  • Title

    Probabilistic fault diagnosis and its analysis in multicomputer systems

  • Author

    Kobayashi, Manabu ; Takabatake, Toshinori ; Matsushima, Toshiyasu ; Hirasawa, Shigeichi

  • Author_Institution
    Shonan Inst. of Technol., Fujisawa, Japan
  • fYear
    2011
  • fDate
    9-12 Oct. 2011
  • Firstpage
    1205
  • Lastpage
    1211
  • Abstract
    F.P.Preparata et al. have proposed a fault diagnosis model to find all faulty units in the multicomputer system by using outcomes which each unit tests some other units. In this paper, for probabilistic diagnosis models, we show an efficient diagnosis algorithm to obtain a posteriori probability that each of units is faulty given the test outcomes. Furthermore, we propose a method to analyze the diagnostic error probability of this algorithm.
  • Keywords
    directed graphs; fault diagnosis; fault tolerant computing; multiprocessing systems; probability; multicomputer system; posteriori probability; probabilistic diagnosis model; probabilistic fault diagnosis; Complexity theory; Error probability; Fault diagnosis; Machine learning algorithms; Probabilistic logic; Random variables; Testing; density evolution; intermittent faults; multicomputer systems; probabilistic fault diagnosis; system-level fault diagnosis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2011 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4577-0652-3
  • Type

    conf

  • DOI
    10.1109/ICSMC.2011.6083862
  • Filename
    6083862