DocumentCode
3250518
Title
Modeling and optimization of deteriorating equipment with predictive maintenance and inspection
Author
Wang, Ning ; Sun, Shu-Dong ; Li, Shu-Min ; Si, Shu-Bin
Author_Institution
Sch. of Mechantronics, Northwestern Polytech. Univ., Xi´´an, China
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
942
Lastpage
946
Abstract
The predictive maintenance policy of deteriorating equipment is studied in the paper. A semi-Markov decision process (SMDP) is utilized to modeling the deteriorating equipment. The model includes the inspection state which assumes equipment can fail due to both deterioration and random causes. The alternative action includes do nothing, do minor maintenance and do major maintenance after the inspection. The objective is to optimize the inspection rate for maximum availability of deteriorating equipment. A special case study demonstrates that the inspection can significantly improve the availability of the equipment, if the frequency is properly determined.
Keywords
Markov processes; condition monitoring; inspection; optimisation; preventive maintenance; production equipment; deteriorating equipment; inspection; optimization; predictive maintenance policy; semiMarkov decision process; Data models; Europe; Inspection; Maintenance engineering; deteriorating equipment; inspection; predictive maintenance; semi-Markov decision process;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Engineering and Engineering Management (IE&EM), 2010 IEEE 17Th International Conference on
Conference_Location
Xiamen
Print_ISBN
978-1-4244-6483-8
Type
conf
DOI
10.1109/ICIEEM.2010.5646469
Filename
5646469
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