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作 者:林圣[1] 李楠[1] 杨超 范瑞栋 LIN Sheng;LI Nan;YANG Chao;FAN Ruidong(School of Electrical Engineering,Southwest Jiaotong University,Chengdu 611756,China;State Grid Neijiang Electric Power Supply Company,Neijiang 641100,China;China Railway First Survey and Design Institute Group Co.,Ltd.,Xi’an 710043,China)
机构地区:[1]西南交通大学电气工程学院,四川成都611756 [2]国家电网内江供电公司,四川内江641100 [3]中铁第一勘察设计院集团有限公司,陕西西安710043
出 处:《铁道学报》2021年第4期51-59,共9页Journal of the China Railway Society
基 金:国家重点研发计划(2017YFB1201202)。
摘 要:针对牵引供电设备运行费用高、性能加速劣化以及实际维修效果不完美的问题,提出一种牵引供电设备状态检修决策模型。该模型采用可线性化Wiener过程反映设备运行过程中的加速劣化特性,通过正态分布刻画不完美维修后设备的劣化程度,并通过定期检测确定设备劣化程度。通过遍历全寿命周期内检修情形进行分析,结合劣化程度与预防性维修阈值及失效阈值的大小关系,推导预防性维修和修复性维修实施概率的数学表达式。利用推导的公式计算检测周期和预防性维修阈值的最优组合,实现运行费用率最低的决策目标。采用Monte Carlo法对所建立的决策模型进行求解。通过某干式变压器的仿真数据,验证了状态检修决策的有效性。In response to the problems of high operation cost,accelerated performance degradation process,and the imperfect actual maintenance effect of traction power supply equipment,the paper proposed a decision-making model of condition-based maintenance.The model used the linearizable Wiener process to reflect the accelerated degradation characteristics of the equipment during operation,applied normal distribution to describe the degradation degree of the equipment after imperfect maintenance,and determined the degree of equipment deterioration through regular inspections.Based on the analysis of all maintenance scenario in the life cycle,and comparing the degradation degree with preventive maintenance(PM)threshold and failure threshold,the mathematical expression of implementation probability of PM and corrective maintenance(CM)was derived.The decision goal of minimal operation cost rate was achieved by optimal combination of detection cycle and PM threshold,which was calculated by the derived mathematical expression.A Monte Carlo simulation method was used to solve the decision-making model.Finally,a simulation case of a dry-type transformer was used to verify the effectiveness of the condition-based maintenance strategy.
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