摘要
针对动车组关键系统维修过程中涉及部件数量多、维修时间长、维修费用高的特点,提出了预防维修时间、故障相关性、经济相关性3重因素影响下的多部件系统机会维护策略。首先对多部件建立部件故障率模型。在此基础上,考虑预防维修时间,将部件层预防维修成本分为独立时间成本和依赖时间成本,对经济相关性进行建模,再以系统维修费用率最小为优化目标建立系统层维护模型,并应用遗传算法求解。最后通过算例表明,相较于考虑单一因素的维修策略,所提维修策略可降低系统维修成本10%及以上,验证了考虑维修时间和部件联合相关性的必要性和有效性。
Aiming at the characteristics of many parts,long maintenance duration and high maintenance cost in the maintenance process of EMU key systems,a opportunistic maintenance strategy of a multi-component system is proposed.The strategy is under three factors:preventive maintenance duration,fault dependence and economic dependence.The failure rate model of components is established at first.On this basis,considering the impact of preventive maintenance duration,preventive maintenance cost of the components is further divided into time-independent and time-dependent cost,to complete the economic dependence model.Then the system-level maintenance model is established with the minimum system maintenance cost rate as the optimization goal,and the optimal maintenance plan of the system is determined by genetic algorithm.Finally,a numerical example is provided to show that the proposed maintenance strategy can reduce system maintenance costs by 10%or more compared to maintenance strategies that consider a single factor,and illustrate the necessity and effectiveness by considering the maintenance duration and joint dependence between components.
作者
钱倩
蒋祖华
QIAN Qian;JIANG Zuhua(School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai 200240,China)
出处
《工业工程》
北大核心
2020年第6期95-100,123,共7页
Industrial Engineering Journal
基金
国家自然科学基金资助项目(71461018,71361019)
工信部资助项目(MC-201720-220)。
关键词
机会维护
多部件系统
预防维修时间
故障相关性
经济相关性
opportunistic maintenance
multi-component system
preventive maintenance duration
fault dependence
economic dependence
