A novel optimal preventive maintenance policy for a cold standby system based on semi-Markov theory

Zhong, Chongquan; Jin, Haibo

doi:10.1016/j.ejor.2013.07.020

Cited by 39 publications

(22 citation statements)

References 24 publications

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“…Besides, the repair is also considered for the standby system [9]. It causes the problem of maintenance policy and surveillance testing [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

A comparison between two switching policies for two-unit standby system

Jia

Chen

Cheng

et al. 2016

Reliability Engineering & System Safety

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“…Besides, the repair is also considered for the standby system [9]. It causes the problem of maintenance policy and surveillance testing [10][11][12].…”

Section: Introductionmentioning

confidence: 99%

A comparison between two switching policies for two-unit standby system

Jia

Chen

Cheng

et al. 2016

Reliability Engineering & System Safety

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“…Because the acquisition of highly reliable components is often more expensive than the addition of redundant components, redundancy has been widely applied. Primary examples include those instances where operational safety is a key concern, such as aircraft controls, nuclear power plants, and larger telecommunication networks …”

Section: Introductionmentioning

confidence: 99%

“…The optimization of maintenance polices for repairable systems has been a subject of investigation for decades. Some of these works focus on systems with hot redundancy, such as Flammini et al and Gray, others discuss systems structured as k ‐out‐of‐N components, such as Kapur and Kapoor, Kumar, and Lapa et al, and many of them address cold standby systems, such as Osaki, Sim, Myers and Rauzy, Okasha and Frangopol, Taghipour et al, Zhang and Wang, and Zhong and Jin …”

Section: Introductionmentioning

confidence: 99%

An Accessible Way to Establish Reliability and Expected Time-to-Failure for Cold Standby Redundant Systems Subject to Periodic Inspections

Mendes

Ribeiro

2015

Qual. Reliab. Engng. Int.

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Cold standby systems subject to periodic inspections are widely applied in industry. However, the establishment of system reliability, expected time to failure, and appropriate time interval between inspections in a form accessible to industrial and maintenance engineers are still challenging issues. This paper aims to develop equations that solve this problem based on an analysis of expected exposure time for active and redundant components. A table and a general analytic expression along with graphs were elaborated to allow for the establishment of the appropriate time interval between inspections, given the level of reliability required and the number of standbys available. The main advantage of the results presented in this paper is the ability to conduct the reliability evaluation without the use of complex formulations such as Markov process or Laplace transforms that are usually beyond the skills of the industrial and maintenance staff. Also, a comparison with the exact solution using probability theory is presented, and it is proved that the method developed in this study provides a good approximation for practical applications.

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“…Knowledge of the effect of repair is important for determining optimum maintenance policy (Scarf, 1997;Dekker & Scarf, 1998;Wang, 2002;Xiang, 2013;Zhong & Jin, 2014;Kirschenmann, Popova, Damien, & Hanson, 2014) and modelling the repair effect has attracted considerable research (e.g., Malik, 1979;Nakagawa, 1988;Kijima, 1989;Doyen & Gaudoin, 2004;Guo, Liao, Zhao, & Mettas, 2007;Wu & Zuo, 2010). The repair effect can be accommodated by a number of means, such as modification of the failure intensity or reduction of the virtual age of the system.…”

Section: Motivationmentioning

confidence: 99%

Decline and repair, and covariate effects

Scarf

2015

European Journal of Operational Research

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The failure processes of repairable systems may be impacted by operational and environmental stress factors. To accommodate such factors, reliability can be modelled using a multiplicative intensity function. In the proportional intensity model, the failure intensity is the product of the failure intensity function of the baseline system that quantifies intrinsic factors and a function of covariates that quantify extrinsic factors. The existing literature has extensively studied the failure processes of repairable systems using general repair concepts such as age-reduction when no covariate effects are considered. This paper investigates different approaches for modelling the failure and repair process of repairable systems in the presence of time-dependent covariates. We derive probabilistic properties of the failure processes for such systems.

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A novel optimal preventive maintenance policy for a cold standby system based on semi-Markov theory

Cited by 39 publications

References 24 publications

A comparison between two switching policies for two-unit standby system

A comparison between two switching policies for two-unit standby system

An Accessible Way to Establish Reliability and Expected Time-to-Failure for Cold Standby Redundant Systems Subject to Periodic Inspections

Decline and repair, and covariate effects

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