DocumentCode :
2303492
Title :
Cooperative maintenance decision system for power plant based on swarm intelligence
Author :
Guo, Jiang ; Gu, Kai-kai ; Liu, Ya-jin ; Wang, Yi-xin ; Zhao, Xiang-ping
Author_Institution :
Scholl of Power & Mech. Eng., Wuhan Univ., Wuhan, China
Volume :
6
fYear :
2010
fDate :
10-12 Aug. 2010
Firstpage :
2903
Lastpage :
2907
Abstract :
Maintenance is one of the important research subjects of the electric power system. In order to realize cooperative maintenance decision, the system framework of multi-knowledge, multi-method, multi-resource, multi-information based on swarm intelligence is constructed, the method of knowledge modeling is studied. Swarm intelligence is a quality that many individuals can behave intelligently through interaction. The individuals are open to each other, sharing the resource information, managing and dispatching are unified with the platform based on knowledge grid, the serving information is offered for different power plants, manufactures and research units. That is beneficial to enhancing the diagnosis and management of the maintenance decision support system, reducing its costs, and improving its efficiency, thus providing a feasible approach for the realization of condition-based maintenance gradually.
Keywords :
decision support systems; maintenance engineering; power system management; cooperative maintenance decision system; electric power system; knowledge grid; maintenance decision support system; power plants; resource information; serving information; swarm intelligence; system framework; Companies; Generators; Knowledge based systems; Knowledge engineering; Maintenance engineering; Power generation; Security; Knowledge Grid; Swarm Intelligence; component; condition-based maintenance; maintenance decision; power engineering; power plant;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
Type :
conf
DOI :
10.1109/ICNC.2010.5584110
Filename :
5584110
Link To Document :
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