• DocumentCode
    2480921
  • Title

    Research on intelligent diagnosis mechanism facing on complicated system

  • Author

    Han, Yanling ; Cao, Shouqi ; Yuan, Xiaohua

  • Author_Institution
    Coll. of Inf., Shanghai Fisheries Univ., Shanghai
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    1790
  • Lastpage
    1795
  • Abstract
    By analyzing the characteristic and implication of complicated system, the knowledge structure evolution principle of complicated system was analyzed from the view of coordination control. As the intelligent behavior process based on knowledge, the internal relevance between intelligent diagnosis process and self-organizing was parsed and the self-organizing essence of intelligent diagnosis was researched in depth from three ways of task decomposition, process double restraint relationship and self-organizing process drive based on knowledge chain, which proceeded beneficial investigation for solving intelligent diagnosis of modern complicated manufacture system and equipment.
  • Keywords
    fault diagnosis; large-scale systems; manufacturing systems; self-adjusting systems; complicated manufacture system; coordination control; intelligent diagnosis mechanism; intelligent diagnosis process; knowledge chain; self-organizing process drive; Aquaculture; Automation; Control systems; Educational institutions; Fault diagnosis; Information analysis; Intelligent control; Intelligent structures; Knowledge engineering; Manufacturing processes; double restrain; intelligent diagnosis; knowledge chain; knowledge structure evolution; self-organizing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593193
  • Filename
    4593193