• DocumentCode
    2041565
  • Title

    Research on cooperation evolvement dynamics model of fault diagnosis grid

  • Author

    Cao, Shouqi ; Han, Yanling

  • Author_Institution
    Coll. of Eng. Sci. & Technol., Shanghai Ocean Univ., Shanghai, China
  • Volume
    6
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    2662
  • Lastpage
    2666
  • Abstract
    By analyzing the complexity of fault diagnosis grid, we researched the bi-particle projection mode of fault diagnosis grid composed by project nodes and service resource nodes. As the effacter in grid, every project node and service resource node would adopt different strategies, such as selection, decision-making and competition, which will result in self-evolvement and evolvement of whole grid. Based on this, self-organizing cooperation evolvement model of diagnosis grid was built and the simulation result was given, which explained that fault diagnosis grid of complicated system could self-organize to small world and scale-free structure.
  • Keywords
    decision making; fault diagnosis; grid computing; bi-particle projection mode; complex network; cooperation evolvement dynamics model; decision making; fault diagnosis grid complexity; project nodes; scale-free structure; self-organizing cooperation evolvement model; service resource nodes; Business; Complex networks; Complexity theory; Fault diagnosis; Graphics; Mathematical model; Simulation; complex network; cooperation evolvement; fault diagnosis grid; self-organizing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569804
  • Filename
    5569804