如何在任务间隔的有限维修资源约束下,开展系统的选择性维修优化,以保证系统以最大成功概率满足下一次任务的性能需求,是维修人员关心的重要问题。首先,以多态串并联系统为研究对象,提出了不完美维修下部件不同维修水平的有效役龄模型;...如何在任务间隔的有限维修资源约束下,开展系统的选择性维修优化,以保证系统以最大成功概率满足下一次任务的性能需求,是维修人员关心的重要问题。首先,以多态串并联系统为研究对象,提出了不完美维修下部件不同维修水平的有效役龄模型;其次,考虑任务间隔中部件之间拆装顺序对维修资源的影响,建立了考虑结构依赖的系统维修时间与维修成本模型;最后,考虑任务间隔和维修成本的约束,以系统成功完成下次任务概率最大为目标,建立了考虑结构依赖的选择性维修优化模型,并以城市空中交通(urbar air mobility,UAM)空中汽车混合动力传动系统为案例,验证了所提方法的有效性。展开更多
针对现有故障预测与健康管理(prognostics and health management,PHM)系统难以给出实时、动态健康管理决策结果的问题,综合考虑不完善维修、多资源约束(人力、时间、成本等)、备件订购、任务规划等因素,基于选择性维修理论,建立了动态...针对现有故障预测与健康管理(prognostics and health management,PHM)系统难以给出实时、动态健康管理决策结果的问题,综合考虑不完善维修、多资源约束(人力、时间、成本等)、备件订购、任务规划等因素,基于选择性维修理论,建立了动态健康管理决策模型,得到了最优方案,包括部件最优维修对策、维修任务分配、备件订购数量、最优任务规划等。最后,结合算例,分析了维修人员数量、备件数量、任务规划等因素对动态健康管理决策结果的影响,验证了所提模型的有效性,对于指导装备健康管理实践、提升保障质效具有重要的意义。展开更多
In view of the high complexity of the objective world, an economic dependence between subsystems(paired and unpaired) is proposed, and then the maintenance cost and time under different economic dependences are formul...In view of the high complexity of the objective world, an economic dependence between subsystems(paired and unpaired) is proposed, and then the maintenance cost and time under different economic dependences are formulated in a simple and consistent manner. Selective maintenance problem under economic dependence(EDSMP) is presented based on a series–parallel system in this paper. A case study shows that the system reliability is promoted to a certain extent, which can validate the validity of the EDSMP model. The influence of the ratio of set-up cost on system performance is mainly discussed under different economic dependences. Several existing improvements of classical exhaust algorithm are further modified to solve a large sized EDSMP rapidly. Experimental results illustrate that these improvements can reduce CPU time significantly.Furthermore the contribution of each improvement is defined here, and then their contributions are compared thoroughly.展开更多
A cost-based selective maintenance decision-making method was presented.The purpose of this method was to find an optimal choice of maintenance actions to be performed on a selected group of machines for manufacturing...A cost-based selective maintenance decision-making method was presented.The purpose of this method was to find an optimal choice of maintenance actions to be performed on a selected group of machines for manufacturing systems.The arithmetic reduction of intensity model was introduced to describe the influence on machine failure intensity by different maintenance actions (preventive maintenance,minimal repair and overhaul).In the meantime,a resolution algorithm combining the greedy heuristic rules with genetic algorithm was provided.Finally,a case study of the maintenance decision-making problem of automobile workshop was given.Furthermore,the case study demonstrates the practicability of this method.展开更多
In this paper, we obtain optimum allocation of replaceable and repairable components in a system design. When repair and replace time are considered as random in the constraints. We convert probabilistic constraint in...In this paper, we obtain optimum allocation of replaceable and repairable components in a system design. When repair and replace time are considered as random in the constraints. We convert probabilistic constraint into an equivalent deterministic constraint by using chance constrained programming. We have used the selective maintenance policy to determine how many components to be replaced & repaired within the limited maintenance time interval and cost. A Numerical example is presented to illustrate the computational procedure and problem is solved by using LINGO Software.展开更多
文摘如何在任务间隔的有限维修资源约束下,开展系统的选择性维修优化,以保证系统以最大成功概率满足下一次任务的性能需求,是维修人员关心的重要问题。首先,以多态串并联系统为研究对象,提出了不完美维修下部件不同维修水平的有效役龄模型;其次,考虑任务间隔中部件之间拆装顺序对维修资源的影响,建立了考虑结构依赖的系统维修时间与维修成本模型;最后,考虑任务间隔和维修成本的约束,以系统成功完成下次任务概率最大为目标,建立了考虑结构依赖的选择性维修优化模型,并以城市空中交通(urbar air mobility,UAM)空中汽车混合动力传动系统为案例,验证了所提方法的有效性。
文摘针对现有故障预测与健康管理(prognostics and health management,PHM)系统难以给出实时、动态健康管理决策结果的问题,综合考虑不完善维修、多资源约束(人力、时间、成本等)、备件订购、任务规划等因素,基于选择性维修理论,建立了动态健康管理决策模型,得到了最优方案,包括部件最优维修对策、维修任务分配、备件订购数量、最优任务规划等。最后,结合算例,分析了维修人员数量、备件数量、任务规划等因素对动态健康管理决策结果的影响,验证了所提模型的有效性,对于指导装备健康管理实践、提升保障质效具有重要的意义。
基金supported by the National Science Foundation of China (Grant No. 61305083)
文摘In view of the high complexity of the objective world, an economic dependence between subsystems(paired and unpaired) is proposed, and then the maintenance cost and time under different economic dependences are formulated in a simple and consistent manner. Selective maintenance problem under economic dependence(EDSMP) is presented based on a series–parallel system in this paper. A case study shows that the system reliability is promoted to a certain extent, which can validate the validity of the EDSMP model. The influence of the ratio of set-up cost on system performance is mainly discussed under different economic dependences. Several existing improvements of classical exhaust algorithm are further modified to solve a large sized EDSMP rapidly. Experimental results illustrate that these improvements can reduce CPU time significantly.Furthermore the contribution of each improvement is defined here, and then their contributions are compared thoroughly.
基金Project(51105141,51275191)supported by the National Natural Science Foundation of ChinaProject(2009AA043301)supported by the National High Technology Research and Development Program of ChinaProject(2012TS073)supported by the Fundamental Research Funds for the Central University of HUST,China
文摘A cost-based selective maintenance decision-making method was presented.The purpose of this method was to find an optimal choice of maintenance actions to be performed on a selected group of machines for manufacturing systems.The arithmetic reduction of intensity model was introduced to describe the influence on machine failure intensity by different maintenance actions (preventive maintenance,minimal repair and overhaul).In the meantime,a resolution algorithm combining the greedy heuristic rules with genetic algorithm was provided.Finally,a case study of the maintenance decision-making problem of automobile workshop was given.Furthermore,the case study demonstrates the practicability of this method.
文摘In this paper, we obtain optimum allocation of replaceable and repairable components in a system design. When repair and replace time are considered as random in the constraints. We convert probabilistic constraint into an equivalent deterministic constraint by using chance constrained programming. We have used the selective maintenance policy to determine how many components to be replaced & repaired within the limited maintenance time interval and cost. A Numerical example is presented to illustrate the computational procedure and problem is solved by using LINGO Software.
