A novel modeling framework for a degrading system subject to hierarchical inspection and maintenance policy

Aibo Zhang, Xingheng Liu*, Zhiying Wu, Min Xie

*Corresponding author for this work

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    8 Citations (Scopus)
    70 Downloads (CityUHK Scholars)

    Abstract

    Most engineering systems exhibit degrading performance in their designated service times as influenced by their working conditions. Thus, inspection and maintenance actions are crucial for maintaining their performance. Among these, critical engineering systems, such as compressors and safety valves, are typically subject to a multi-level inspection scheme consisting of partial and full inspections. In this study, inspired by this inspection scheme, we propose a hierarchical maintenance model to incorporate collected system performance information from these inspection interventions. Partial inspections verify whether the system is functional or not, and then partial preventive maintenance is performed; a more accurate system state is known at the instant of full inspections, which serve as windows for the conduction of condition-based maintenance. The proposed maintenance policy is then applied to a system undergoing monotone stochastic degradation. Subsequently, the average cost per unit time in the operational phase and the sensitivity analysis with respect to variables, such as the preventive maintenance threshold, inspection intervals, and the maintenance effect factors, are investigated. Theoretical results and numerical examples are obtained to examine the applicability of the generalized model. © 2023 The Author(s).
    Original languageEnglish
    Pages (from-to)636-650
    JournalApplied Mathematical Modelling
    Volume120
    Online published21 Apr 2023
    DOIs
    Publication statusPublished - Aug 2023

    Funding

    This work is supported by National Natural Science Foundation of China (52005032, 72271025, 71971181 and 72032005) and by Research Grant Council of Hong Kong (11203519 and 11200621). It is also funded by Hong Kong Innovation and Technology Commission (InnoHK Project CIMDA) and Hong Kong Institute of Data Science (Project 9360163). The work of the second author, Xingheng Liu, is funded by the Research Council of Norway and the Norwegian Center for Research based Innovation on Subsea Production and Processing (SUBPRO, project 237893). We would also like to thank Lechang Yang for his inspiring insights on the potential applications of the presented model.

    Research Keywords

    • Condition-based maintenance
    • Hidden failures
    • Hierarchical model
    • Maintenance optimization
    • Partial and full inspection
    • Unrecoverable degradation

    Publisher's Copyright Statement

    • This full text is made available under CC-BY 4.0. https://creativecommons.org/licenses/by/4.0/

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