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
Link To Document :
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