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基于模糊多目标优化的城轨列车车门系统维保周期的研究

袁宇博, 冒玲丽, 邢宗义

袁宇博, 冒玲丽, 邢宗义. 基于模糊多目标优化的城轨列车车门系统维保周期的研究[J]. 铁路计算机应用, 2017, 26(5): 18-22.
引用本文: 袁宇博, 冒玲丽, 邢宗义. 基于模糊多目标优化的城轨列车车门系统维保周期的研究[J]. 铁路计算机应用, 2017, 26(5): 18-22.
YUAN Yubo, MAO Lingli, XING Zongyi. Research on maintenance cycle of urban rail vehicle door system based on fuzzy multi-objective optimization[J]. Railway Computer Application, 2017, 26(5): 18-22.
Citation: YUAN Yubo, MAO Lingli, XING Zongyi. Research on maintenance cycle of urban rail vehicle door system based on fuzzy multi-objective optimization[J]. Railway Computer Application, 2017, 26(5): 18-22.

基于模糊多目标优化的城轨列车车门系统维保周期的研究

基金项目: 国家重点研发计划项目资助(2016YF1200402)
详细信息
    作者简介:

    袁宇博,工程师;冒玲丽,在读硕士研究生。

  • 中图分类号: U271.038.6∶TP39

Research on maintenance cycle of urban rail vehicle door system based on fuzzy multi-objective optimization

  • 摘要: 科学制定车门系统维保周期对整个城轨列车系统的安全高效运营具有重要意义。采用模糊多目标优化算法对城轨列车车门系统维保周期进行优化:分别确定可用度、经济性、任务可靠度与维保周期的关系函数;以可用度、经济性为优化目标,以任务可靠度为约束条件,建立基于模糊层次分析法的维保周期模糊多目标优化模型。对某地铁公司2号线车门系统进行实例分析,验证了模型的有效性。
    Abstract: The scientific formulation of maintenance cycle of door system has important significance to guarantee the urban rail vehicle running safely and efficiently. In this paper, the fuzzy multi-object optimization method was applied to optimize the maintenance cycle of urban rail vehicle door system. Firstly, determined the relationship among availability, economy, task reliability and maintenance cycle. Then, took the cost and economy as the optimization objective and the task reliability as the constraint conditions, established a fuzzy multi objective optimization model based on Fuzzy Analytic Hierarchy Process (AHP). Finally, applied the proposed model to the door system of a metro line 2, verified the validity of the model.
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  • 期刊类型引用(3)

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    2. 杨泰隆,张雨,朱文明. 汽车车门密封胶条维护周期的多属性决策. 轻型汽车技术. 2020(Z2): 45-48+28 . 百度学术
    3. 张雨,杨泰隆,朱文明. 城轨车辆门密封胶条维护周期优化的灰色关联分析. 重庆理工大学学报(自然科学). 2020(08): 50-54 . 百度学术

    其他类型引用(2)

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  • 被引次数: 5
出版历程
  • 收稿日期:  2016-12-04
  • 刊出日期:  2017-05-24

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