考虑拆卸结构的动车组系统动态机会维修策略OACHSSCDCSTPCD
A Dynamic Opportunistic Maintenance Strategy for Electric Multiple Unit Systems Considering Disassembly Structures
为研究拆卸结构对动车组系统维修计划的影响,运用拆卸混合图模型分析单部件最优拆卸序列.并基于效费比分析方法选择多级维修方式,计算考虑拆卸成本和安装调试成本的部件最优可靠度阈值.在此基础上,引入机会维修理念,针对系统内多部件维修前拆卸序列规划问题,提出多拆卸目标序列优化方法,建立考虑可靠度价值浪费的动态机会维修策略模型.算例分析表明,动态机会维修策略相较于传统顺序预防性维修策略,通过归并维修时机,停机次数减少 16次,有效减少因预防性维修和拆卸时间冗长造成的停机成本损耗,且维修总成本节省16.6%,满足维修部门对经济性的要求,为动车组系统考虑复杂相关性的维修策略研究提供理论支持.
To study the impact of disassembly structures on the maintenance planning of electric multiple unit(EMU)systems,a disassembly hybrid graph model is used to analyze the optimal disassembly sequence for individual components.Additionally,a cost-effectiveness analysis method is employed to select multi-level maintenance strategies,and the optimal reliability threshold of components,considering disassembly costs and installation/debugging costs,is calculated.On this basis,the concept of opportunity maintenance is introduced to address the problem of disassembly sequence planning for multiple components before maintenance.A multi-objective disassembly sequence optimization method is proposed,and a dynamic opportunistic maintenance strategy model considering waste of reliability value is established.Case analysis shows that compared to traditional sequential preventive maintenance strategies,the dynamic opportunistic maintenance strategy reduces downtime by 16 times through merging maintenance opportunities,effectively reducing downtime costs caused by excessive preventive maintenance and disassembly time.The total maintenance cost is saved by 16.6%,which can meet the economic requirements of maintenance departments and provide theoretical support for the study of maintenance strategies considering complex interdependencies in EMU systems.
权海锐;王红;何勇;高纪宁
兰州交通大学 机电工程学院,甘肃 兰州 730070
交通运输
动车组系统多级维修方式拆卸序列优化动态机会维修可靠度价值浪费
EMU systemsmulti-level maintenance methodsdisassembly sequence optimizationdynamic opportunity maintenancewaste of reliability value
《工业工程》 2024 (004)
39-47 / 9
国家自然科学基金资助项目(72061022);甘肃省青年科技基金资助项目(22JR5RA373)
评论