DocumentCode :
27181
Title :
Adaptive Maintenance Policies for Aging Devices Using a Markov Decision Process
Author :
Abeygunawardane, Saranga K. ; Jirutitijaroen, Panida ; Huan Xu
Author_Institution :
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
Volume :
28
Issue :
3
fYear :
2013
fDate :
Aug. 2013
Firstpage :
3194
Lastpage :
3203
Abstract :
In competitive environments, most equipment are operated closer to or at their limits and as a result, equipment´s maintenance schedules may be affected by system conditions. In this paper, we propose a Markov decision process (MDP) that allows better flexibility in conducting maintenance. The proposed MDP model is based on a state transition diagram where inspection and maintenance (I&M) delay times are explicitly incorporated. The model can be solved efficiently to determine adaptive maintenance policies. This formulation successfully combines the long term aging process with more frequently observed short term changes in equipment´s condition. We demonstrate the applicability of the proposed model using I&M data of local transformers.
Keywords :
Markov processes; ageing; decision theory; inspection; maintenance engineering; power apparatus; power transformers; scheduling; I&M; MDP; Markov decision process; adaptive maintenance policy; inspection and maintenance delay time; long term aging device process; power equipment; scheduling; state transition diagram; transformer; Adaptation models; Aging; Decision making; Delay; Inspection; Maintenance engineering; Markov processes; Asset management; Markov decision processes; backward induction; condition monitoring (CM); maintenance; transformers;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2012.2237042
Filename :
6419867
Link To Document :
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