The selective maintenance is a new branch and significant breakthrough of reliability and maintenance theory.In the original selective maintenance problem,a subset of maintenance activities is performed on selected co...The selective maintenance is a new branch and significant breakthrough of reliability and maintenance theory.In the original selective maintenance problem,a subset of maintenance activities is performed on selected components during the finite break so that the system is able to maximize the next mission reliability.It is a fast growing research field over the past ten years,in which a variety of mathematical models and solution methodology have been proposed for dealing with more complex and significant problems.An overview of some recent advances in selective maintenance modeling and treatment methods is provided in this paper.A number of challenges that can be undertaken to help move the field forward are also discussed according to the current state of the selective maintenance approach.展开更多
列控系统的安全苛求对车载设备的可靠性提出了更高的需求,有效的可靠性模型与合理的维修策略对预防潜在故障、提高设备可靠性具有重要意义。针对现有车载设备可靠性建模和维修策略考虑因素不全面的问题,提出了一种考虑随机冲击与冗余的...列控系统的安全苛求对车载设备的可靠性提出了更高的需求,有效的可靠性模型与合理的维修策略对预防潜在故障、提高设备可靠性具有重要意义。针对现有车载设备可靠性建模和维修策略考虑因素不全面的问题,提出了一种考虑随机冲击与冗余的可靠性模型构建方法与一种不完美维修条件下的预防性维修模型。首先,考虑自然性能退化和外界随机冲击,针对车载设备及其冗余分别建立不同的性能退化模型并计算相应的可靠度函数;其次,利用Copula函数求解联合分布函数作为整体可靠度函数,在可靠度阈值约束下,通过单个预防性维修周期内的可靠度函数求解预防性维修间隔,同时考虑不完美维修对于维修策略的影响,以可靠度阈值和预防性维修次数作为决策准则,构建车载设备全生命周期内的维护费用率模型;最后,以列车自动防护控制单元(Automatic Train Protection Control Unit,ATP-CU)为例进行数值仿真,验证所提模型的有效性。结果表明:提出的基于Copula函数求解车载设备及其冗余的可靠性建模方法相比传统的独立可靠性分析方法能够更好地把握其性能的演化情况;在仿真环境下,当可靠度阈值为0.85、预防性维修次数为7次时,ATP-CU及其冗余全生命周期内的最小维护成本率为21.47元·d-1。展开更多
基金Project of Science Research Plan in Xi'an of China(No.CXY1439(8))National Natural Science Foundations of China(Nos.61100009,61305083)
文摘The selective maintenance is a new branch and significant breakthrough of reliability and maintenance theory.In the original selective maintenance problem,a subset of maintenance activities is performed on selected components during the finite break so that the system is able to maximize the next mission reliability.It is a fast growing research field over the past ten years,in which a variety of mathematical models and solution methodology have been proposed for dealing with more complex and significant problems.An overview of some recent advances in selective maintenance modeling and treatment methods is provided in this paper.A number of challenges that can be undertaken to help move the field forward are also discussed according to the current state of the selective maintenance approach.
文摘列控系统的安全苛求对车载设备的可靠性提出了更高的需求,有效的可靠性模型与合理的维修策略对预防潜在故障、提高设备可靠性具有重要意义。针对现有车载设备可靠性建模和维修策略考虑因素不全面的问题,提出了一种考虑随机冲击与冗余的可靠性模型构建方法与一种不完美维修条件下的预防性维修模型。首先,考虑自然性能退化和外界随机冲击,针对车载设备及其冗余分别建立不同的性能退化模型并计算相应的可靠度函数;其次,利用Copula函数求解联合分布函数作为整体可靠度函数,在可靠度阈值约束下,通过单个预防性维修周期内的可靠度函数求解预防性维修间隔,同时考虑不完美维修对于维修策略的影响,以可靠度阈值和预防性维修次数作为决策准则,构建车载设备全生命周期内的维护费用率模型;最后,以列车自动防护控制单元(Automatic Train Protection Control Unit,ATP-CU)为例进行数值仿真,验证所提模型的有效性。结果表明:提出的基于Copula函数求解车载设备及其冗余的可靠性建模方法相比传统的独立可靠性分析方法能够更好地把握其性能的演化情况;在仿真环境下,当可靠度阈值为0.85、预防性维修次数为7次时,ATP-CU及其冗余全生命周期内的最小维护成本率为21.47元·d-1。
