Selective maintenance optimisation considering random common cause failures and imperfect maintenance

Cao, Wenbin; Jia, Xisheng; Liu, Yu; Hu, Qiwei; Zhao, Jiwen

doi:10.1177/1748006x18799907

Cited by 5 publications

(4 citation statements)

References 45 publications

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“…Up to now, two types of imperfect maintenance models are popularly adopted, that is, effective age and failure rate function respectively. 36 Kijima et al 37 first proposed the concept of virtual age in quantifying the impact of maintenance on repairable systems, and in the literature the concept of effective age has been more widely used than the virtual age. It is worth pointing out that the effective age and the virtual age are essentially the same in the maintenance field.…”

Section: Probabilistic Updating Under Imperfect Maintenancementioning

confidence: 99%

Optimizing inspection plan for corroded pipeline with considering imperfect maintenance

Wang

Xie

2022

Proceedings of the Institution of Mechanical Engineers, Part O:

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Metal-loss corrosion may result in pipeline’s failure and expensive downtime loss. Thus, to keep the pipeline’s normal operation, it is crucial to draw up scientific inspection and maintenance plans. This study is to optimize the inspection plan for corroded pipeline. Limit state functions are established for the corrosion leakage and burst respectively, and the pipeline’s failure probability is obtained with Monte Carlo simulation. The pipeline’s failure probability is further evaluated by the copula function and with considering the correlation of different failure modes. Moreover, a hybrid failure rate model is developed to update the pipeline’s failure probability, where the age reduction factor and failure rate increase factor are adopted, and imperfect maintenance is taken into account. On this basis, an optimization model is established with the objective to minimize the total maintenance cost, and genetic algorithm is applied to optimize the inspection plans. A case study is conducted, and the optimal results are analyzed according to acceptable maximum failure probability characteristics for the areas with different risk levels. The results show that periodic inspection and perfect maintenance are suitable for high-risk areas, and the proposed inspection plan is more suitable for corroded pipeline in low or medium-risk areas.

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Section: Probabilistic Updating Under Imperfect Maintenancementioning

confidence: 99%

Optimizing inspection plan for corroded pipeline with considering imperfect maintenance

Wang

Xie

2022

Proceedings of the Institution of Mechanical Engineers, Part O:

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“…By considering the uncertainty of maintenance quality in multi-state manufacturing systems, Chen et al 27 presented a type of novel optimization model for selective maintenance. Cao et al 28 studied selective maintenance optimization problem for the systems subject to random common cause failures, a genetic algorithm and Monte Carlo simulation approach were proposed to solve the optimization model. It indicated that the proposal of time-based imperfect maintenance model can yield better maintenance results.…”

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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“…Coolen and Coolen-Maturi 22 study the system reliability following CCF of components by non-parametric predictive inference. Cao et al 23 consider a selective maintenance optimization problem for systems subject to random CCF. For the Bayesian-based methods, Qiu and Ming 24 study the system affected by the probabilistic common cause failure under different relationships.…”

Section: Introductionmentioning

confidence: 99%

Reliability analysis of k-out-of-n: G repairable systems considering common cause failure and multi-level maintenance strategy

Dong

Jia

2022

Proceedings of the Institution of Mechanical Engineers, Part O:

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A common cause failure occurs when two or more elements fail due to a shared cause. The system with such failure often needs different repairmen and a multi-level maintenance strategy. The paper studies the reliability of k-out-of-n: G repairable systems considering common cause failure and multi-level maintenance strategy. The models with a multi-level maintenance strategy are established by considering the failure of all and partial components due to common cause failure. The reliability indices of the systems, such as availability and the mean time to first failure, are derived. An optimization maintenance model is established by minimizing the cost, and a three-level maintenance strategy is determined. Numerical examples are provided to illustrate the application. The results show that the multi-level maintenance strategy improves the system reliability and reduces the maintenance costs of systems with common cause failure.

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Selective maintenance optimisation considering random common cause failures and imperfect maintenance

Cited by 5 publications

References 45 publications

Optimizing inspection plan for corroded pipeline with considering imperfect maintenance

Optimizing inspection plan for corroded pipeline with considering imperfect maintenance

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

Reliability analysis of k-out-of-n: G repairable systems considering common cause failure and multi-level maintenance strategy

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