• DocumentCode
    2698429
  • Title

    Study on fault evaluation in Software-intensive equipment

  • Author

    Hao, Xue-Liang ; Wang, Yi-Gang ; Zhu, Xiao-Dong

  • Author_Institution
    Maintenance Eng. Inst., Mech. Eng. Coll., Shijiazhuang, China
  • fYear
    2012
  • fDate
    15-18 June 2012
  • Firstpage
    323
  • Lastpage
    325
  • Abstract
    Fault pattern and mechanism of Software-intensive equipment are discussed and thought of application on fault diagnosis in Software-intensive equipment by HMM is presented. Based on the HMM theory, the algorithm of which is modified by multi-state reliability analysis to evaluate the state of Software-intensive equipment fault pattern. The result shows that the method presented can succeed in recognizing fault pattern of Software-intensive equipment and evaluating the state of system.
  • Keywords
    fault diagnosis; hidden Markov models; military computing; military equipment; reliability; HMM theory; fault diagnosis; fault evaluation; fault pattern; hidden Markov model; multistate reliability analysis; software-intensive equipment; Circuit faults; Data models; Fault diagnosis; Hidden Markov models; Mathematical model; Pattern recognition; multi-states reliability analysis; software-intensive equipment; state evaluating;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-0786-4
  • Type

    conf

  • DOI
    10.1109/ICQR2MSE.2012.6246245
  • Filename
    6246245
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2698429