Redundancy optimization for series-parallel multi-state systems

Levitin, Gregory; Lisnianski, Anatoly; Ben-Haim, Hanoch; Elmakis, David

doi:10.1109/24.722283

Cited by 293 publications

(121 citation statements)

References 4 publications

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“…The MSS performance distribution can be determined by the using of UGF method. The output performance levels of an MSS with series, parallel, series-parallel and bridge structure were evaluated in [18,17,25,30,32,38] by the defined different composition operators.…”

Section: Science and Technologymentioning

confidence: 99%

A combined method for reliability analysis of multi-state system of minor-repairable components

Qin

Niu

Liu

2016

EiN

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Section: Science and Technologymentioning

confidence: 99%

A combined method for reliability analysis of multi-state system of minor-repairable components

Qin

Niu

Liu

2016

EiN

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“…This definition of the reliability index is widely used for power systems: see e.g., [11,12,13,14,15]. The Loss of Load Probability index (LOLP) is usually used to estimate the reliability index [16].…”

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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-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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“…The procedure used in this paper for the system survivability evaluation is based on the universal generating function (u-function) technique, which was introduced in [29] and proved to be very effective for the reliability evaluation of different types of multi-state systems [30,31].…”

Section: Algorithms For Determining the Task Execution Time Distributionmentioning

confidence: 99%

Reliability of fault-tolerant systems with parallel task processing

Levitin

Xie

Zhang

2007

European Journal of Operational Research

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The paper considers performance and reliability of fault-tolerant software running on a hardware system that consists of multiple processing units. The software consists of functionally equivalent but independently developed versions that start execution simultaneously. The computational complexity and reliability of different versions are different. The system completes the task execution when the outputs of a pre-specified number of versions coincide. The processing units are characterized by different availability and processing speed. It is assumed that they are able to share the computational burden perfectly and that execution of each version can be fully parallelized. The algorithm based on the universal generating function technique is used for determining the distribution of system task execution time. This algorithm allows analysts to evaluate complex hardware-software reliability and performance indices such as expected task execution time and probability that the task is completed within a given time. Illustrative examples are also presented. The algorithm based on the universal generating function technique is used for determining the distribution of system task execution time. This algorithm allows analysts to evaluate complex hardware-software reliability and performance indices such as expected task execution time and probability that the task is completed within a given time. Illustrative examples are presented.

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Redundancy optimization for series-parallel multi-state systems

Cited by 293 publications

References 4 publications

A combined method for reliability analysis of multi-state system of minor-repairable components

A combined method for reliability analysis of multi-state system of minor-repairable components

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

Reliability of fault-tolerant systems with parallel task processing

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