Selective maintenance modeling and analysis of a complex system with dependent failure modes

Ruiz, César; Pohl, Edward A.; Liao, Haitao

doi:10.1080/08982112.2020.1755983

Cited by 9 publications

(2 citation statements)

References 32 publications

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“…Furthermore, replacements require an entire system shut down for maintenance. For example, an optimisation framework and a statistical approach for selective maintenance are presented by Ruiz et al [9] to maintain a complex system with multiple failure modes.…”

Section: Pm Planning For Continuitymentioning

confidence: 99%

Optimising System Continuity in Preventive Maintenance Schedules Based on Integrated Failure Mode and Spare Part Inventory Modelling

Alamri¹,

Mo²

2022

IJRRS

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Systems with multiple components and various configurations are classified as complex. Unless failure modes are carefully considered, the replacement of components or breakdown can lead to the shutdown of the whole system. Because of this, maintaining a complex system output can be challenging, especially if the right preventive maintenance schedule is not determined. In order to support replacement activities, a sufficient supply of spare parts is required. Based on the failure mode identified and effects analysis, this research presents an integrated preventive maintenance scheduling methodology for complex systems. Components and subsystems in the system can be modelled, such that failures in different parts of the system can be predicted based on expected life. To maintain a high level of production during PM, the need to analyse failure modes that result in only partial system failures is necessary. For determining the required number of spare parts, we factor in preventive replacements for each FMEA block. Optimal replacement intervals and spare part quantities are determined using the genetic algorithm. In order to demonstrate the application of the proposed method, numerical experiments are conducted. The developed method in this paper not only improves system reliability and minimises costs but also maintains the continuity of system outcomes during replacement activities.

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Section: Pm Planning For Continuitymentioning

confidence: 99%

Optimising System Continuity in Preventive Maintenance Schedules Based on Integrated Failure Mode and Spare Part Inventory Modelling

Alamri¹,

Mo²

2022

IJRRS

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“…Hong et al [9] investigated the influence of dependent degradation components on the optimal maintenance decisions, and the dependency among degradation components was modeled by the Copula. Guo et al [10] developed a joint reliability model via Copula for the non-repairable systems, which had dependent competition risks caused by component degradation and random shocks. Their study illustrated making maintenance decisions via the proposed reliability models could obtain a more precise result than that without considering the dependency.…”

Section: Introductionmentioning

confidence: 99%

Reliability-based selective maintenance for redundant systems with dependent performance characteristics of components

Chen

Duan

2023

J. of Syst. Eng. Electron.

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The reliability-based selective maintenance (RSM) decision problem of systems with components that have multiple dependent performance characteristics (PCs) reflecting degradation states is addressed in this paper. A vine-Copulabased reliability evaluation method is proposed to estimate the reliability of system components with multiple PCs. Specifically, the marginal degradation reliability of each PC is built by using the Wiener stochastic process based on the PC 's degradation mechanism. The joint degradation reliability of the component with multiple PCs is established by connecting the marginal reliability of PCs using D-vine. In addition, two RSM decision models are developed to ensure the system accomplishes the next mission. The genetic algorithm (GA) is used to solve the constraint optimization problem of the models. A numerical example illustrates the application of the proposed RSM method.

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Introduction

Liu

Huang

Jiang

2023

Springer Series in Reliability Engineering

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Selective maintenance modeling and analysis of a complex system with dependent failure modes

Cited by 9 publications

References 32 publications

Optimising System Continuity in Preventive Maintenance Schedules Based on Integrated Failure Mode and Spare Part Inventory Modelling

Optimising System Continuity in Preventive Maintenance Schedules Based on Integrated Failure Mode and Spare Part Inventory Modelling

Reliability-based selective maintenance for redundant systems with dependent performance characteristics of components

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