DocumentCode
2993563
Title
Study on intelligent maintenance decision support system using for power plant equipment
Author
Xiao-Feng, Dong ; Yu-Jiong, Gu ; Kun, Yang
Author_Institution
Sch. of Energy & Power Eng., North China Electr. Power Univ., Beijing
fYear
2008
fDate
1-3 Sept. 2008
Firstpage
96
Lastpage
100
Abstract
With the developing of industry, maintenance has become an important factor that influences survival and development of business. As an interdisciplinary activity, maintenance management needs technical support from computer decision support system when using that knowledge. There are numerous pieces of equipment in a power plant, but the maintenance requirements are different for different equipment. Making condition based maintenance in a power plant is a systemic and integrative maintenance management activity which needs a special maintenance decision support system. As a main developing direction of decision support system, intelligent decision support system has got a comprehensive and successful application in many domains. According to the characteristic of operation and maintenance in a power plant, an intelligent maintenance decision support system is designed in this paper where the system goal, function, framework and platform are particularly introduced.
Keywords
condition monitoring; decision support systems; maintenance engineering; power plants; computer decision support system; condition based maintenance; intelligent maintenance decision support system; maintenance management; power plant equipment; power plant maintenance; power plant operation; Decision support systems; Degradation; Energy management; Intelligent systems; Knowledge management; Maintenance; Power generation; Power system management; Production systems; Quality management; Condition based maintenance; Decision support system; Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-2502-0
Electronic_ISBN
978-1-4244-2503-7
Type
conf
DOI
10.1109/ICAL.2008.4636127
Filename
4636127
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