A proactive group maintenance policy for continuously monitored deteriorating systems: Application to offshore wind turbines

维护措施 可靠性工程 二元分析 纠正性维护 海上风力发电 涡轮机 预防性维护 任务(项目管理) 状态维修 主动维护 风力发电 断层(地质) 工程类 计算机科学 计划维护 机械工程 电气工程 系统工程 地震学 地质学 机器学习
作者
Mahmood Shafiee,Maxim Finkelstein
出处
期刊:Proceedings Of The Institution Of Mechanical Engineers, Part O: Journal Of Risk And Reliability [SAGE Publishing]
卷期号:229 (5): 373-384 被引量:34
标识
DOI:10.1177/1748006x15598915
摘要

This article presents an optimum proactive group maintenance policy for continuously monitored systems affected by stochastic deterioration (degradation). A system is composed of multiple nonidentical subsystems, each exposed to a gradual degradation phenomenon. When the length (or size) of degradation in a subsystem reaches a predetermined fault threshold, it fails and leads to failure of the whole system. In order to avoid system failures and to improve availability levels, a proactive group maintenance task is conducted once the degradation level of a subsystem exceeds an “alert” threshold (smaller than the fault threshold). In this maintenance task, the critical subsystem undergoes a state-dependent repair action, and a preventive maintenance is performed on the other subsystems. Furthermore, the whole system is preventively replaced because of safety requirements when its operational age attains a fixed value. We formulate a multivariate nonlinear maintenance optimization model to simultaneously determine the optimal alert thresholds for subsystems and the replacement time for system. The performance of the proposed maintenance policy, regarding the objective of minimum system’s average long-run maintenance cost per unit time, is compared to five conventional cases of maintenance policies: the reactive response, individual age-based, individual condition-based, bivariate age- and condition-based, and age-based group maintenance. A numerical example, using real-life data collected from an offshore wind dataset, is presented to illustrate the applicability of the proposed model to the maintenance of a group of wind turbine bearings.
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