• DocumentCode
    620564
  • Title

    The research and design of visual fault tree modeling analysis

  • Author

    Xiaolei Ding ; Qiusheng Wang ; Haibin Yuan ; Haiwen Yuan ; Mu Ling

  • Author_Institution
    Sch. of Autom. Sci. & Electr. Eng., Beihang Univ., Beijing, China
  • fYear
    2013
  • fDate
    25-27 May 2013
  • Firstpage
    4752
  • Lastpage
    4756
  • Abstract
    According to the situation that creating fault tree manually is inefficient, error-prone, existing software of visual fault tree modeling is not perfect, not easy to transplant, research visual modeling and analysis of the fault tree. First, this paper discusses the visual building method combines dynamic contribution with stratified achievements, fault event editing functions, separation of fault tree with failure information method, then discusses the fault qualitative analysis in visual modeling process, final design the visual fault tree modeling platform, realize the rapid modeling and visual analysis of the fault tree, and presents an application examples to illustrate. The actual instructions that the system can meet the needs of visual fault tree modeling.
  • Keywords
    fault trees; software reliability; dynamic contribution; failure information method; fault event editing functions; fault qualitative analysis; stratified achievements; visual building method; visual fault tree modeling analysis; Analytical models; Automation; Educational institutions; Electronic mail; Fault trees; Safety; Visualization; Fault Tree; Fault Tree Analysis; Visualization Modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2013 25th Chinese
  • Conference_Location
    Guiyang
  • Print_ISBN
    978-1-4673-5533-9
  • Type

    conf

  • DOI
    10.1109/CCDC.2013.6561793
  • Filename
    6561793