• DocumentCode
    495236
  • Title

    Research on Process Design of Intelligent Fault Diagnosis for Complicated System

  • Author

    Shou-qi, Cao ; Yan-ling, Han ; Xin-min, Sun ; Li-lan, Liu

  • Author_Institution
    Coll. of Eng. Sci. & Technol., Shanghai Ocean Univ., Shanghai, China
  • Volume
    5
  • fYear
    2009
  • fDate
    March 31 2009-April 2 2009
  • Firstpage
    419
  • Lastpage
    424
  • Abstract
    Combining the characteristics of complicated system in the way of structure and function, such as stratify, relevance, parallel and intricacy, the paper took the diagnosis object as a whole, and from the view of responding custom request and solving the complicated tasks, researched two key technologies, including fault diagnosis process and diagnosis resource utilization. The diagnosis task decomposition mode of complicated system was exhausted. Combining the restraint relationships among the tasks, processes and activities, the activities organization process based on restraint and its solution strategy were analyzed; the paper analyzed the resource management and dispatch process based on multi-agent, and finally given the resource optimization dispatch algorithm based on target criterion of TQCS (Time, Quality, Cost and Safeness).
  • Keywords
    diagnostic expert systems; multi-agent systems; complicated system; complicated task; diagnosis object; diagnosis resource utilization; diagnosis task decomposition mode; intelligent fault diagnosis process design; multiagent; resource management; resource optimization dispatch algorithm; Data analysis; Decision making; Design engineering; Educational institutions; Fault diagnosis; Intelligent robots; Oceans; Paper technology; Process design; Rail transportation; intelligent diagnosis; optimization scheduling of resource; resource organization; restraint leveled network; task decomposition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Engineering, 2009 WRI World Congress on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-0-7695-3507-4
  • Type

    conf

  • DOI
    10.1109/CSIE.2009.642
  • Filename
    5170570