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
Link To Document :
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