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Optimisation of maintenance policies for a deteriorating multi-component system under external shocks

Dui, Hongyan, Zhang, Hao, Wu, Shaomin (2023) Optimisation of maintenance policies for a deteriorating multi-component system under external shocks. Reliability Engineering & System Safety, . Article Number 109415. ISSN 0951-8320. (doi:10.1016/j.ress.2023.109415) (KAR id:101605)

Abstract

Many engineering systems are affected by shocks from their operating environments. When the state of a component degrades to a certain threshold level, preventive maintenance is needed for the purpose of reliability improvement. However, existing studies usually ignore the impact of shocks on different components of a system and therefore on the maintenance policies. This paper proposes to model the degradation processes of components with a k-dimensional Wiener process. Under both deterministic and stochastic environmental conditions, the Eyring model is used to measure the environmental importance of the multi-dimensional degradation process. Then, according to different failure scenarios, different maintenance strategies are proposed. A periodic inspection policy is considered for each component that may fail due to shock environments. As for multiple components, the maintenance priority is determined based on the joint importance, and optimal preventive maintenance is obtained under the condition of limited resources. Finally, a robot system is taken as an example to verify the correctness and effectiveness of the proposed methods.

Item Type: Article
DOI/Identification number: 10.1016/j.ress.2023.109415
Uncontrolled keywords: System Reliability; Preventive maintenance; Importance measure; Degradation
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems
Funders: University of Kent (https://ror.org/00xkeyj56)
Depositing User: Shaomin Wu
Date Deposited: 09 Jun 2023 09:56 UTC
Last Modified: 07 Jun 2024 23:00 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/101605 (The current URI for this page, for reference purposes)

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