摘要
针对以不同衰退特征设备组成的港口复杂装卸系统,提出了设备层-系统层交互的动态机会维护策略,以支撑自动化码头的智能维护决策.引入维护效果和外部环境工况,提出了独立设备的综合衰退演化规则,并结合多目标价值理论和动态循环决策模式,建立设备层多目标预知维护规划模型.在此基础上,分析串联设备间的相互依赖性,利用设备停机的组合维护机会,建立了多设备维护优化调度的联合区间轴策略,对关联设备的预知维护作业采取有针对性的作业合并.数值实例结果证明,所提出的方法可显著降低系统整体维护成本,提供具有可行性、实时性、经济性的系统层维护优化方案.
This paper focused on complex quayside container crane systems consisting of different machines with various degradation processes. An interactive dynamic opportunistic maintenance policy was proposed for supporting the intelligent maintenance decision-making. Based on maintenance effects and environmental condition, a hybrid hazard rate recursion evolution was developed for individual machines. Besides, a multi-attribute maintenance model utilizing the multiple attribute value theory and dynamic cycles was presented to optimize the maintenance schedule for each single machine. Furthermore, considering the se- ries system structure, the combining interval timeline （CIT） programming was applied to combine related predictive maintenance actions by using the maintenance opportunities in the system level. The results of system maintenance schedules prove that the proposed methodology can effectively reduce the total maintenance cost and decrease the decision-making complexity.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
2015年第9期1319-1323,共5页
Journal of Shanghai Jiaotong University
基金
国家自然科学基金资助项目(51475304
51475289
51505288)
中国博士后面上基金项目(2014M561465)
教育部新世纪优秀人才计划项目(NCET-11-0328)
关键词
机会维护
港口装卸系统
环境工况
动态循环
联合区间轴
opportunistic maintenance
container crane system
environmental condition
dynamic cycle
combining interval timeline
