• DocumentCode
    2885825
  • Title

    Research on Intelligent Diagnosis Technology Based on Self-Organizing

  • Author

    Han, Yan-ling ; Yang, Bing-ru ; Zhang, Tao-hong ; Li, Da

  • Author_Institution
    Inf. Eng. Sch., Univ. of Sci. & Technol. Beijing
  • fYear
    2006
  • fDate
    13-16 Aug. 2006
  • Firstpage
    235
  • Lastpage
    240
  • Abstract
    By analyzing the self-organizing characteristic of intelligent behavior, the superiority of intelligent system based on self-organizing was compared and pointed. With application to fault diagnosis domain, the principle of intelligent diagnosis and self-organizing planning process were analyzed in detail. Combined with the specially characteristic and advantage of multi-agent technology, this paper brought forward to apply multi-agent technology into the process of intelligent diagnosis, researched on the realization strategy of self-organizing based on multi-agent, and adopted the optimization scheduling of resources which based on TQCS (response time, service quantity, service cost, safety property) to solve the key point problem during self-organizing planning
  • Keywords
    decision making; fault diagnosis; intelligent manufacturing systems; multi-agent systems; optimised production technology; process planning; scheduling; intelligent diagnosis technology; intelligent system; multiagent technology; resource optimization scheduling; self-organizing process planning; Control theory; Cybernetics; Evolution (biology); Fault diagnosis; Industrial control; Intelligent systems; Job shop scheduling; Learning systems; Machine learning; Manufacturing; Mathematical model; Process planning; Self-organizing; intelligent diagnosis; multi-agent; optimization scheduling of resources;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2006 International Conference on
  • Conference_Location
    Dalian, China
  • Print_ISBN
    1-4244-0061-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2006.258960
  • Filename
    4028065