DocumentCode
2231867
Title
Application of the fuzzy comprehensive evaluation method based on entropy weight and ahp in maintenance mode decision of the power plant
Author
Chen, Kun-liang ; Gu, Yu-jiong ; Yang, Kun
Author_Institution
Key Lab. of Condition Monitoring & Control for Power Plant Equip. of Minist. of Educ., North China Electr. Power Univ., Beijing, China
fYear
2008
fDate
8-11 Dec. 2008
Firstpage
2153
Lastpage
2157
Abstract
Aiming at the difficulty in selecting the maintenance mode for power plant equipment with ration, the fuzzy comprehensive evaluation method based on entropy weight and analytic hierarchy process (AHP) is suggested. It combines entropy weight with AHP for against the casualness and subjectivity in traditional method. With the method, the mode is divided into some layers composed of index factors, and then the subjective and the objective weights can be calculated to fit the comprehensive weights based up on the corresponding matrix. Finally with the principle of evaluation, the maintenance mode can be decided by the comprehensive weight and judgment matrix. The calculating result of applying the proposed method to the example demonstrates that the method is valid and feasible, and it is capable of evaluating the maintenance mode for supplying the gist for the condition maintenance decision.
Keywords
entropy; fuzzy set theory; maintenance engineering; matrix algebra; power plants; analytic hierarchy process; entropy weight; fuzzy comprehensive evaluation; maintenance mode decision; matrix; power plant equipment; Condition monitoring; Costs; Decision making; Entropy; Fuzzy control; Fuzzy systems; Laboratories; Maintenance; Power generation; Production; Analytic hierarchy process (AHP); entropy weight; fuzzy comprehensive evaluation; maintenance mode; power plant equipment;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-2629-4
Electronic_ISBN
978-1-4244-2630-0
Type
conf
DOI
10.1109/IEEM.2008.4738252
Filename
4738252
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