DocumentCode :
2698880
Title :
Optimal load distribution for multi-state systems under selective maintenance strategy
Author :
Chen, Chujie ; Liu, Yu ; Huang, Hong-Zhong
Author_Institution :
Sch. of Mechatron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2012
fDate :
15-18 June 2012
Firstpage :
436
Lastpage :
442
Abstract :
Many engineering systems are exposed to run in load-varying environment. Load has a significant impact on the deteriorating process of components and system. Distributing the loads optimally among components of a system can reduce the failure probability and prolong the system life. In this paper, an approach to load distribution for multi-state systems under selective maintenance strategy is developed. In addition to optimally allocating the limited maintenance budget among components, the proposed method also provides a feasible way to distribute loads imposed on components so as to maximize the probability of system successfully completing the next mission. The resulting optimization problem is solved by the genetic algorithm (GA). As observed from our comparative study, the proposed method always yields a better result that the existing method which doesn´t take load distribution into account.
Keywords :
Weibull distribution; failure (mechanical); genetic algorithms; load distribution; maintenance engineering; failure probability; genetic algorithm; load-varying environment; maintenance budget; multistate systems; optimal allocation; optimal load distribution; optimization problem; selective maintenance strategy; Genetic algorithms; Load modeling; Optimization; Preventive maintenance; Reliability; Weibull distribution; genetic algorithm; load distribution; selective maintenance; universal generating function;
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.2012.6246270
Filename :
6246270
Link To Document :
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