• DocumentCode
    2697491
  • Title

    Research of dynamic linked lists for the fault tree analysis process

  • Author

    Fan, Huilai ; Yan, Yingmin ; Yang, Fengbiao

  • Author_Institution
    Shijiazhuang Mech. Eng. Coll., Shijiazhuang, China
  • fYear
    2012
  • fDate
    15-18 June 2012
  • Firstpage
    93
  • Lastpage
    96
  • Abstract
    To solve the computer description of Fault tree model, a new method based on the extended fault tree nodes´ nonlinear linked lists representation is put forward according to the analysis of the fault tree mathematical model and inference mechanism. With this method, the process of fault tree diagnosis can be fully represented of this method and the process of fault tree diagnosis inference mechanism can be optimized. So the whole system will get a certain self-learning and adaptive ability. It is a good solution to the fault tree model description and computer storage problems, and opens up new avenues for the expert system knowledge acquisition.
  • Keywords
    expert systems; fault diagnosis; fault trees; inference mechanisms; knowledge acquisition; adaptive ability; computer description; computer storage problem; dynamic linked list; expert system knowledge acquisition; extended fault tree node; fault tree analysis process; fault tree diagnosis inference mechanism; fault tree mathematical model; fault tree model description; nonlinear linked lists representation; self-learning ability; Cognition; Expert systems; Fault diagnosis; Fault trees; Logic gates; Mathematical model; Testing; Fault Tree; Fault diagnosis; nonlinear linked lists; process diagnosis;
  • 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.2012.6246194
  • Filename
    6246194