A value-based preventive maintenance policy for multi-component system with continuously degrading components

Liu, Bin; Xu, Zhengguo; Xie, Min; Kuo, Way

doi:10.1016/j.ress.2014.06.012

Cited by 86 publications

(41 citation statements)

References 34 publications

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“…Recently, more advanced maintenance policies (e.g., condition-based maintenance) have been applied for multi-component systems (Camci, 2009). Liu et al (2014) proposed a value-based maintenance policy for multicomponent systems with degrading components. In the work of Tian & Liao (2011), a condition based maintenance strategy with proportional hazards model was developed for multi-component systems.…”

Section: Introductionmentioning

confidence: 99%

Maintenance Scheduling for Multicomponent Systems with Hidden Failures

et al. 2017

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This paper develops a maintenance policy for a multi-component system subject to hidden failures. Components of the system are assumed to suffer from hidden failures, which can only be detected at inspection. The objective of the maintenance policy is to determine the inspection intervals for each component such that the long-run cost rate is minimized. Due to the dependence among components, an exact optimal solution is difficult to obtain. Concerned with the intractability of the problem, a heuristic method named "base interval approach" is adopted to reduce the computational complexity. Performance of the base interval approach is analyzed and the result shows that the proposed policy can approximate the optimal policy within a small factor. Two numerical examples are presented to illustrate the effectiveness of the policy.

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Section: Introductionmentioning

confidence: 99%

Maintenance Scheduling for Multicomponent Systems with Hidden Failures

et al. 2017

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“…However, practical engineering systems have more states which lie between these two as deteriorated states . The deteriorated states can be especially used to define threshold values for preventive maintenance . Many cases such as a multi‐engine aircraft, a multidisplay cockpit system, a multitransmitter communication, and an oil supply system with multiple pipelines are formed as k ‐out‐of‐ n systems .…”

Section: Introductionmentioning

confidence: 99%

A dynamic unreliability assessment and optimal maintenance strategies for multistate weighted k‐out‐of‐n:F systems

Khorshidi

Gunawan

Ibrahim

2016

Appl Stoch Models Bus & Ind

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In this paper, a dynamic evaluation of the multistate weighted k-out-of-n:F system is presented in an unreliability viewpoint. The expected failure cost of components is used as an unreliability index. Using failure cost provides an opportunity to employ financial concepts in system unreliability estimation. Hence, system unreliability and system cost can be compared easily in order to making decision. The components' probabilities are computed over time to model the dynamic behavior of the system. The whole system has been assessed by recursive algorithm approach. As a result, a bi-objective optimization model can be developed to find optimal decisions on maintenance strategies. Finally, the application of the proposed model is investigated via a transportation system case. Matlab programming is developed for the case, and genetic algorithm is used to solve the optimization model.

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“…This concept has been widely accepted for single-component system maintenance [4,5,9], but few applications of it exist for multi-component systems [14]. Moreover, most methods of describing system parameters (e.g., system reliability) are one-sided; this is because most studies for complex multi-component systems rely only on the assumption of simple structure dependencies between components, such as in series [13,14,17], in parallel [18], in parallelseries [19]. Things like redundant designs and bridge connections within complex systems are not taken into account.…”

Section: Introductionmentioning

confidence: 99%