Title : 
Study on Maintenance Method Intelligent Decision Support System Used for Power Plant Equipment
         
        
            Author : 
Gu, Yu-jiong ; Dong, Xiao-feng ; Yang, Kun
         
        
            Author_Institution : 
Sch. of Energy & Power Eng., North China Electr. Power Univ., Beijing
         
        
        
        
        
        
            Abstract : 
With the development of industry, maintenance has become an important factor that influences survival and development of a corporation. It is an effective way for a power plant to achieve management modernization and enhance market competition by making condition based maintenance. There are numerous pieces of equipment in a power plant, but the maintenance requirement is different for respective equipment, so selecting appropriate maintenance method is the first step of making condition based maintenance in a power plant. In the course of maintenance method selection, there are a lot of qualitative and quantitative analyses to do, so technical support from computer decision support system is necessary. According to the characteristic of condition based maintenance in a power plant, a maintenance method intelligent decision support system used for power plant equipment is designed in this paper where the system´s goal, function and architecture are particularly introduced.
         
        
            Keywords : 
decision support systems; maintenance engineering; power engineering computing; power plants; computer decision support system; intelligent decision support system; maintenance method selection; maintenance requirement; power plant equipment; Decision support systems; Failure analysis; Information analysis; Information management; Intelligent systems; Maintenance; Power generation; Power system reliability; Production; US Department of Transportation;
         
        
        
        
            Conference_Titel : 
Power and Energy Engineering Conference, 2009. APPEEC 2009. Asia-Pacific
         
        
            Conference_Location : 
Wuhan
         
        
            Print_ISBN : 
978-1-4244-2486-3
         
        
            Electronic_ISBN : 
978-1-4244-2487-0
         
        
        
            DOI : 
10.1109/APPEEC.2009.4918824