基于数据驱动的城市轨道交通车辆冷凝风机修程优化
徐俊驰1朱慷弘1孔佳麟1姜仕军2王勇2兰洪财2孟琳山2于洪彬2
Data-driven Condenser Fan Maintenance Schedule Optimization of Urban Rail Transit Vehicle
XU JunchiZHU KanghongKONG JialinJIANG ShijunWANG YongLAN HongcaiMENG LinshanYU Hongbin
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作者信息:1.上海地铁维护保障有限公司车辆分公司， 200235， 上海
2.中车青岛四方车辆研究所有限公司， 266011， 青岛
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Affiliation:Vehicle Branch of Shanghai Metro Maintenance Support Co., Ltd., 200235, Shanghai, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2023.06.030
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中图分类号/CLCN:U270.38+3
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栏目/Col:应用技术
摘要:
城市轨道交通列车空调冷凝风机运行时间少，除夏季外基本不运行，目前修程存在过度修的情况，需要对冷凝风机修程进行优化。针对该问题，基于数据驱动提出适用于冷凝风机的修程优化策略。通过该策略，依据城市轨道交通车辆实际运行中冷凝风机部件的有效服役里程，得到其故障数据。对故障数据进行假设检验判断部件寿命符合的分布类型，采用双参数威布尔分布拟合故障数据，引入适用于冷凝风机故障数据类型的支持向量回归机对故障数据拟合求解分布参数，依据参数构建可靠性模型，求解得到可靠性下降时的可靠性间隔约束。依据冷凝风机预防性维修所需的人工成本及故障后所需的人工成本及部件维修成本，分别计算该部件预防性维修和修复性维修的成本，得到部件的维修总成本模型。通过综合可靠性模型及维修成本模型分析得到最佳检修修程，即在满足部件可靠性的情况下，总维修成本最小的使用里程即为最佳的维修里程。结果表明，优化后的车辆冷凝风机修程比原修程更合理，既能保证列车安全运行，又能降低检修运维成本。
Abstracts:
The running time of urban rail transit train air-conditioning condenser fan is quite little, basically turned-off except in summer, and the maintenance schedule may have arranged excessive repair for this condition, therefore the air-conditioning condenser fan maintenance schedule needs to be optimized. Targeting this issue, a data-driven maintenance schedule optimization strategy for condenser fan is proposed. Through this strategy, based on the effective service mileage of condenser fan components during the actual operation of urban rail transit vehicles, the fault data is obtained. A hypothesis test is carried out on the fault data to determine the distribution type suitable for the component lifespan. The two-parameter Weibull distribution is used to fit the fault data, and the support vector regression machine suitable for the fault data types of condenser fan is introduced to fit the fault data to solve the distribution parameters. Then the reliability model is constructed according to the parameters, and the reliability interval constraint is obtained when the reliability decreases. According to the labor cost required by condenser fan preventive maintenance, the labor and component maintenance costs in case of failure, the preventive maintenance and repair maintenance costs of the component are calculated separately, and the total maintenance cost model of the component is obtained. Through the analysis of comprehensive reliability model and maintenance cost model, the optimal maintenance schedule is obtained, that is, under the condition of meeting the reliability of components, the service mileage with the minimum total maintenance cost is the optimal maintenance mileage. Results show that the optimized vehicle condenser fan maintenance schedule is more reasonable than the original schedule, which can not only ensure the safe operation of the train, but also reduce the inspection and operation-maintenance cost.
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