Selective maintenance optimization for random phased-mission systems subject to random common cause failures

Jia, Xisheng; Cao, Wenbin; Hu, Qiwei

doi:10.1177/1748006x18791724

Cited by 8 publications

(4 citation statements)

References 42 publications

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“…Recently, to identify a subset of maintenance activities to be performed on some elements of the system, Jia et al 26 presented a selective maintenance model for phased-mission systems with random common cause failures. Moreover, an analytic model was developed to estimate the probability of the system successfully completing its mission.…”

Section: Introductionmentioning

confidence: 99%

Multi-objective imperfect selective maintenance optimization for series-parallel systems with stochastic mission duration

Huang

Wen

2022

Proceedings of the Institution of Mechanical Engineers, Part O:

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To improve the probability that an engineering system successfully completes its next mission, it is crucial to implement timely maintenance activities, especially when maintenance time or maintenance resources are limited. Taking series-parallel system as the object of study, this paper develops a multi-objective imperfect selective maintenance optimization model. Among it, during the scheduled breaks, potential maintenance actions are implemented for the components, ranging from minimal repair to replacement. Considering that the level of maintenance actions is closely related to the maintenance cost, age reduction coefficient and hazard rate adjustment coefficient are taken into account. Moreover, improved hybrid hazard rate approach is adopted to describe the reliability improvement of the components, and the mission duration is regarded as a random variable. On this basis, a nonlinear stochastic optimization model is established with dual objectives to minimize the total maintenance cost and maximize the system reliability concurrently. The fast elitist non-dominated sorting genetic algorithm (NSGA-II) is adopted to solve the model. Numerical experiments are conducted to verify the effectiveness of the proposed approach. The results indicate that the proposed model can obtain better scheduling schemes for the maintenance resources, and more flexible maintenance plans are gained.

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Section: Introductionmentioning

confidence: 99%

Multi-objective imperfect selective maintenance optimization for series-parallel systems with stochastic mission duration

Huang

Wen

2022

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…The working process of many modern systems needs several phases, [32][33][34][35][36][37][38] especially some complex systems. [39][40][41] For example, the flight of Intercontinental ballistic missile (ICBM) after launching can be divided into three stages: propulsion and acceleration stage, midway stage and re-entry stage, which gives three phases to intercept ICBM. In this case, the missile-target interception process can be regarded as a sequential game with multiple targets and phases where the attacker takes action first and then the defender responds.…”

Section: Introductionmentioning

confidence: 99%

Optimal interception strategy of air defence missile system considering multiple targets and phases

Gao

Xiao

et al. 2021

Proceedings of the Institution of Mechanical Engineers, Part O:

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Due to the rapid development and wide application of air attack weapons, air defence missiles against them are increasingly important and have become the main air defence weapons in modern war. However, interception strategy of air defence missile system is ignored in previous studies. Thus, using the combinatorial optimization, this paper proposes a methodology to optimize the strategy of ADMS in a missile-target interception process in order to minimize the expected costs for defender. According to the practice, the considered process has multiple targets and multiple phases, and the expected costs are composed of the loss caused by targets and the cost for intercept missiles. Two numerical examples are presented to illustrate the proposed methodology. The results of the examples show that interception strategies have a great impact on the expected costs of ADMS during a missile-target interception process.

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“…Generally, propagation failures can be divided into two classes: probabilistic propagation failures (PPFs) 20–24 and deterministic propagation failures (DPFs). 15–17 PPFs are special cases of common-cause failures caused by one or more failed components of systems, which can result in failures of components in a corresponding PFG with certain occurrence probabilities.…”

Section: Introductionmentioning

confidence: 99%

“…Wang et al 22,23 further analyzed the reliability model of a phased-mission system affected by external PPF using the explicit and implicit methods. A selective maintenance optimization model for random phased-mission systems subject to random PPF was developed by Jia et al 24…”

Section: Introductionmentioning

confidence: 99%

Reliability analysis of network systems subject to probabilistic propagation failures and failure isolation effects

Wang

2020

Proceedings of the Institution of Mechanical Engineers, Part O:

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In this article, the reliability of network systems subject to probabilistic propagation failure and failure isolation effects is considered. Probabilistic propagation failure is the failure of some components in a system, which will cause other components to fail with certain probabilities. Probabilistic propagation failure exists in various network systems, such as computing network system and nuclear power generating network system. Failure isolation means that the failure of a trigger component will lead to its corresponding dependent components being isolated from the network system. Since the failure isolation effect is activated only when the failure of trigger components occurs before the occurrence of probabilistic propagation failure, there exists a competing failure in the time domain between the failure of a trigger component and the components with probabilistic propagation failure effect. If a trigger component failure occurs first, the system is insensitive to any failures of components being isolated. In this article, a combinatorial method based on binary decision diagram is proposed to analyze the reliability of the network systems subject to probabilistic propagation failure and failure isolation effects. The method can be applied to any network system and any type of lifetime distribution of the system components. As an example, a wide area network system is analyzed. Some numerical results about reliability indexes are provided to verify the feasibility and accuracy of the proposed method.

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Selective maintenance optimization for random phased-mission systems subject to random common cause failures

Cited by 8 publications

References 42 publications

Multi-objective imperfect selective maintenance optimization for series-parallel systems with stochastic mission duration

Multi-objective imperfect selective maintenance optimization for series-parallel systems with stochastic mission duration

Optimal interception strategy of air defence missile system considering multiple targets and phases

Reliability analysis of network systems subject to probabilistic propagation failures and failure isolation effects

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