考虑退化交互的多部件系统动态机会维护建模

doi:10.16183/j.cnki.jsjtu.2019.300

上海交通大学学报 ›› 2020, Vol. 54 ›› Issue (11): 1157-1164.doi: 10.16183/j.cnki.jsjtu.2019.300

考虑退化交互的多部件系统动态机会维护建模

于文莉，周晓军

上海交通大学工业工程与管理系，上海 200240

收稿日期:2019-10-22 出版日期:2020-12-04 发布日期:2020-12-04
通讯作者: 周晓军，男，副教授，博士生导师，电话（Tel.）：13501842734；E-mail：zzhou745@sjtu.edu.cn.
作者简介:于文莉（1996-），女，广东省清远市人，硕士生，主要研究方向为设备维护建模与维护决策.
基金资助:
国家自然科学基金资助项目(51575356)

Dynamic Opportunistic Maintenance Model of Multi-Component System Considering Degradation Interaction

YU Wenli,ZHOU Xiaojun

Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai 200240, China

Received:2019-10-22 Online:2020-12-04 Published:2020-12-04

摘要/Abstract

摘要： 基于退化状态影响退化速率的交互模式和分级交互思想，建立多部件动态退化交互模型；引入基于交互系统整体退化状态的变周期检测机制，并从维护延缓相关部件短期退化交互速率的视角出发，以单位时间总维护成本最低为目标，构建考虑变周期检测和修复非新的多部件退化交互系统机会维护动态决策模型.算例分析表明，该动态维护模型具备成本优势.

关键词: 机会维护；退化交互；多部件系统

Abstract: Based on the idea of state-rate degradation interaction and state discretization, a multi-component dynamic degradation interaction model is established. Besides, a non-periodic inspection policy is introduced based on the overall degradation condition of the interaction system. Moreover, from the perspective of maintenance, which can decrease the short-term interacted degradation rate of the related components, a dynamic opportunistic maintenance model is established with the goal of minimum maintenance cost per unit time. Furthermore, the non-periodic inspection policy and imperfect preventive maintenance actions are designed as well. The case study shows that the proposed model has cost advantages.

Key words: opportunistic maintenance; degradation interaction; multi-component system

中图分类号:

TH 17

于文莉，周晓军. 考虑退化交互的多部件系统动态机会维护建模[J]. 上海交通大学学报, 2020, 54(11): 1157-1164.

YU Wenli,ZHOU Xiaojun. Dynamic Opportunistic Maintenance Model of Multi-Component System Considering Degradation Interaction[J]. Journal of Shanghai Jiaotong University, 2020, 54(11): 1157-1164.

参考文献［14］

［1］	ZEQUEIRA R I, BRENGUER C. On the inspection policy of a two-component parallel system with failure interaction［J］. Reliability Engineering & System Safety, 2005, 88(1): 99-107.
［2］	JIANG L, FENG Q M, COIT D W. Reliability and maintenance modeling for dependent competing failure processes with shifting failure thresholds［J］. IEEE Transactions on Reliability, 2012, 61(4): 932-948.
［3］	NICOLAI R P, DEKKER R. Optimal maintenance of multi-component systems: A review［M］. Springer Series in Reliability Engineering. London, England: Springer, 2008: 263-286.
［4］	ZHANG Z Q, WU S, LEE S, et al. Modified iterative aggregation procedure for maintenance optimisation of multi-component systems with failure interaction［J］. International Journal of Systems Science, 2014, 45(12): 2480-2489.
［5］	SHEU S H, LIU T H, ZHANG Z G, et al. Extended preventive replacement policy for a two-unit system subject to damage shocks［J］. International Journal of Production Research, 2015, 53(15): 4614-4628.
［6］	WANG Y P, PHAM H. Modeling the dependent competing risks with multiple degradation processes and random shock using time-varying copulas［J］. IEEE Transactions on Reliability, 2012, 61(1): 13-22.
［7］	BIAN L K, GEBRAEEL N. Stochastic modeling and real-time prognostics for multi-component systems with degradation rate interactions［J］. IIE Transactions, 2014, 46(5): 470-482.
［8］	SHEN J Y, ELWANY A, CUI L R. Reliability analysis for multi-component systems with degradation interaction and categorized shocks［J］. Applied Mathematical Modelling, 2018, 56: 487-500.
［9］	RASMEKOMEN N, PARLIKAD A K. Condition-based maintenance of multi-component systems with degradation state-rate interactions［J］. Reliability Engineering & System Safety, 2016, 148: 1-10.
［10］	杨志远, 赵建民, 程中华. 退化相关多部件系统预防性维修决策模型［J］. 系统工程与电子技术, 2018, 40(4): 823-832.
	YANG Zhiyuan, ZHAO Jianmin, CHENG Zhonghua. Preventive maintenance decision model of multi-component system with degradation interaction［J］. Systems Engineering and Electronics, 2018, 40(4): 823-832.
［11］	MERCIER S, PHAM H H. A condition-based imperfect replacement policy for a periodically inspected system with two dependent wear indicators［J］. Applied Stochastic Models in Business and Industry, 2014, 30(6): 766-782.
［12］	LI H P, DELOUX E, DIEULLE L. A condition-based maintenance policy for multi-component systems with Lévy copulas dependence［J］. Reliability Engineering & System Safety, 2016, 149: 44-55.
［13］	DO P, ASSAF R, SCARF P, et al. Modelling and application of condition-based maintenance for a two-component system with stochastic and economic dependencies［J］. Reliability Engineering & System Safety, 2019, 182: 86-97.
［14］	BARKER C T, NEWBY M J. Optimal non-periodic inspection for a multivariate degradation model［J］. Reliability Engineering & System Safety, 2009, 94(1): 33-43.

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考虑退化交互的多部件系统动态机会维护建模

Dynamic Opportunistic Maintenance Model of Multi-Component System Considering Degradation Interaction

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考虑退化交互的多部件系统动态机会维护建模

Dynamic Opportunistic Maintenance Model of Multi-Component System Considering Degradation Interaction

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