Redundancy optimization of cold-standby systems under periodic inspection and maintenance

In this paper, a redundancy allocation problem for cold-standby systems with degrading components is studied. We consider performing a policy of periodic inspection and preventive maintenance on the cold-standby components. Components in cold-standby mode are assumed to suffer from performance degra...

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Bibliographic Details
Published inReliability engineering & system safety Vol. 180; p. 403
Main Authors Wang, Wei, Wu, Zhiying, Xiong, Junlin, Xu, Yaofeng
Format Journal Article
LanguageEnglish
Published Barking Elsevier BV 01.12.2018
Subjects
Bayesian analysis
Decision support systems
Environmental degradation
Failure rates
Genetic algorithms
Inspection
Mathematical analysis
Mathematical models
Objective function
Optimization
Performance degradation
Preventive maintenance
Redundancy
Redundant components
Reliability engineering
System reliability
Uncertainty
Weight
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Summary:In this paper, a redundancy allocation problem for cold-standby systems with degrading components is studied. We consider performing a policy of periodic inspection and preventive maintenance on the cold-standby components. Components in cold-standby mode are assumed to suffer from performance degradation when exposed in extreme standby environments for a long-term storage. Except the online working components, other cold-standby components are periodically inspected and preventively maintained to retain them in or restore them to an acceptable condition. The situation, that the cold-standby components are restored like new but their failure rates increase, is considered. In this paper, we develop a model to determine an optimal combination of the component choices, the number of redundant components, and the length of periodic inspection interval, so as to maximize the system reliability while meeting the resource limits, such as cost and weight. As it is difficult to obtain a closed-form expression of the objective function for the optimization problem, an approximated objective function is proposed. The approximation is also used for evaluating the expected cost of periodic inspection and maintenance. We then develop a modified genetic algorithm to solve the optimization problem. Finally, a numerical example is presented to illustrate the effectiveness of the proposed model and the solution methodology.
ISSN:0951-8320
1879-0836