Optimization of imperfect preventive maintenance for multi-state systems

Levitin, Gregory; Lisnianski, Anatoly

doi:10.1016/s0951-8320(99)00067-8

Cited by 183 publications

(73 citation statements)

References 20 publications

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“…[5] presents an algorithm to determine the optimal intervals based on the reliability-based method and in there models the effective age reduction and hazard function are combined. [6] presents a genetic algorithm which determine a minimal cost plan of the selecting PM actions which provides the required levels of power system reliability. A list of possible PM actions available for each MSS, are used.…”

Section: Summary Of Previous Workmentioning

confidence: 99%

“…The effectiveness of each PM actions is defined by the age reduction coefficient e ranging from 0 to 1. As in [6], the structure of the system as defined by an available list of possible PM actions (v) for a given MSS. In this list each PM actions (v) is associated with the cost of its implementation C p (v), and M(v) is the number of equipment affected corresponding to their age reduction e(v).…”

Section: Optimization Problemmentioning

confidence: 99%

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Efficient harmony search optimization for preventive-maintenance-planning for nuclear power systems

Rami

Hamdaoui

Sayah

et al. 2014

Int. J. Simul. Multidisci. Des. Optim.

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-This paper combines the universal generating function UGF with harmony search (HSO) meta-heuristic optimization method to solve a preventive maintenance (PM) problem for series-parallel system. In this work, we consider the situation where system and its components have several ranges of performance levels. Such systems are called multi-state systems (MSS). To enhance system availability or (reliability), possible schedule preventive maintenance actions are performed to equipments and affect strongly the effective age. The MSS measure is related to the ability of the system to satisfy the demand. The objective is to develop an algorithm to generate an optimal sequence of maintenance actions providing system working with the desired level of availability or (reliability) during its lifetime with minimal maintenance cost rate. To evaluate the MSS system availability, a fast method based on UGF is suggested. The harmony search approach can be applied as an optimization technique and adapted to this PM optimization problem.

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Section: Summary Of Previous Workmentioning

confidence: 99%

Section: Optimization Problemmentioning

confidence: 99%

Efficient harmony search optimization for preventive-maintenance-planning for nuclear power systems

Rami

Hamdaoui

Sayah

et al. 2014

Int. J. Simul. Multidisci. Des. Optim.

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show abstract

“…When applied to the MSS, reliability can be considered to be a measure of the ability of a system to meet user demand [13]. The user of the system sets a minimum expected performance rate from the system, called the user demand, represented as w .…”

Section: B Mss Reliability Measuresmentioning

confidence: 99%

Optimization of Age Replacement Policy for Aging Multi-state System with Imperfect Maintenance

Chen¹

2014

Proceedings of the 2014 International Conference on Education Reform and Modern Management

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Abstract-This article proposes the modified age replacement policy for a multi-state system composed of multi-state elements. The degradation of the multi-state element is assumed to follow the non-homogeneous continuous time Markov process which is a continuous time and discrete state process. A recursive approach is presented to efficiently compute the time-dependent state probability distribution of the multi-state element. The state and performance distribution of the entire multi-state system are evaluated via the combination of the stochastic process and the Lz-transform method. The concept of user-centered reliability measure is developed based on the system performance and the user demand. We develop the age replacement policy for an aging multi-state system subject to imperfect maintenance in a failure state. The optimum replacement schedule which minimizes the mean cost rate is derived analytically and discussed numerically.

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“…The effectiveness of each PM actions is defined by the age reduction coefficient ε ranging from 0 to 1. As in (Levitin et al, 2000), the structure of the system as defined by an available list of possible PM actions () v for a given MSS. In this list each PM actions () v is associated with the cost of its implementation () Rt w becomes lower than the desirable level 0 R .…”

Section: Optimization Problemmentioning

confidence: 99%

An Efficient Harmony Search Optimization for Maintenance Planning to the Telecommunication Systems

Harrou¹,

Zeblah²

2011

Search Algorithms and Applications

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Optimization of imperfect preventive maintenance for multi-state systems

Cited by 183 publications

References 20 publications

Efficient harmony search optimization for preventive-maintenance-planning for nuclear power systems

Efficient harmony search optimization for preventive-maintenance-planning for nuclear power systems

Optimization of Age Replacement Policy for Aging Multi-state System with Imperfect Maintenance

An Efficient Harmony Search Optimization for Maintenance Planning to the Telecommunication Systems

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