• DocumentCode
    1697499
  • Title

    Research on self-organizing cooperation evolvement model of fault diagnosis grid based on complicated network

  • Author

    Han, Yanling ; Cao, Shouqi

  • Author_Institution
    Coll. of Inf., Shanghai Ocean Univ., Shanghai, China
  • fYear
    2010
  • Firstpage
    5302
  • Lastpage
    5305
  • 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 toward small world and scale-free structure.
  • Keywords
    complex networks; fault diagnosis; large-scale systems; nonlinear dynamical systems; self-adjusting systems; biparticle projection mode; complicated network; fault diagnosis grid; scale-free structure; self-organizing cooperation evolvement model; 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
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554825
  • Filename
    5554825