DocumentCode
2698766
Title
Opportunistic maintenance optimization of a two-unit system with different unit failure patterns
Author
Cheng, Zhijun ; Yang, Zheng ; Guo, Bo
Author_Institution
Sch. of Inf. Syst. & Manage., Nat. Univ. of Defense Technol., Changsha, China
fYear
2012
fDate
15-18 June 2012
Firstpage
409
Lastpage
413
Abstract
To investigate the optimal policy of continuously deteriorating system with economical dependence, a kind of improved opportunistic maintenance policy is presented in this paper. This system is composed of two kinds of units, which are subjected to the deterioration failure described by Gamma process and the Poisson failure respectively. The maintenance mode and corresponding control threshold are determined by the analysis of failure rules of system units. Since the optimal policy for multi-unit system should not limit itself to a simple juxtaposition of the mono-unit models considering the economical dependence, the opportunistic policy is used to coordinate the maintenance of the two kinds of units and minimize the long-run maintenance cost of the system. Finally, a numerical example is put forward to illustrate the implementation of the model and iteration algorithm.
Keywords
condition monitoring; gamma distribution; maintenance engineering; minimisation; stochastic processes; Poisson failure; deterioration failure; failure rules; gamma process; iteration algorithm; maintenance mode; monounit model; multiunit system; opportunistic maintenance optimization; opportunistic maintenance policy; opportunistic policy; optimal policy; two-unit system; unit failure pattern; Biological system modeling; Inspection; Mathematical model; Numerical models; Optimization; Preventive maintenance; Gamma process; continuously deterioration; economical dependence; multi-unit system; opportunistic maintenance policy;
fLanguage
English
Publisher
ieee
Conference_Titel
Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4673-0786-4
Type
conf
DOI
10.1109/ICQR2MSE.2012.6246264
Filename
6246264
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