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