Volume 35 Issue 3
Sep.  2021
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ZONG Zhixiang. Study on reliability of metro vehicle doors based on exponential distribution and RAMS[J]. Journal of Shanghai University of Engineering Science, 2021, 35(3): 248-252.
Citation: ZONG Zhixiang. Study on reliability of metro vehicle doors based on exponential distribution and RAMS[J]. Journal of Shanghai University of Engineering Science, 2021, 35(3): 248-252.

Study on reliability of metro vehicle doors based on exponential distribution and RAMS

  • Received Date: 2021-03-19
  • Publish Date: 2021-09-30
  • For the purpose of preventing and reducing metro door failures, an exponential distribution function was used to analyze the door failure time intervals based on statistical data of three-year door failures on Shanghai metro line 13. Combined with the reliability theory in RAMS, the reliability of doors in three years was analyzed, and a method to determine the preventive maintenance cycle of doors with the comprehensive reliability of train doors as the goal was put forward. The results show that the three-year door failure time interval obeys exponential distribution function and door failure rate determines the reliability of the door. The smaller the door failure rate, the higher the reliability of the door and the longer the working time of the door; otherwise the shorter the working time of the door. It was suggested that in addition to the daily necessary maintenance of train doors, dynamic preventive maintenance cycle can be obtained according to the annual door failure data, so that the preventive maintenance cycle can be set in a specific year, thus improving the reliability of train doors. The method can provide a reference for improving the reliability of the door.
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  • [1]
    张桥平, 彭建武, 周志刚. 城市轨道交通车辆机械[M]. 成都: 西南交通大学出版社, 2012.
    [2]
    陈苏雨, 方宇, 胡定玉. 基于随机森林方法的地铁车门故障诊断[J] . 测控技术,2018,37(2):20 − 24. doi: 10.3969/j.issn.1000-8829.2018.02.006
    [3]
    詹文元. 深圳地铁1号线一期工程车辆车门控制器故障分析及改进[J] . 电力机车与城轨车辆,2014(4):88 − 89.
    [4]
    丁心凡. 北京地铁4号线列车车门故障的改进分析[J] . 铁道机车车辆,2016(6):101 − 104. doi: 10.3969/j.issn.1008-7842.2016.06.26
    [5]
    赵伟龙. 广州地铁3号线RLS−E2型车门的维修及故障分析[J] . 机车电传动,2016(5):120 − 124.
    [6]
    陈卓群, 林沛扬. 广州市轨道交通七号线列车车门紧急解锁故障分析及改造[J] . 电力机车与城轨车辆,2018,41(6):79 − 81.
    [7]
    牟颖. 地铁列车车门故障诊断与可靠性分析[D]. 大连: 大连交通大学, 2018.
    [8]
    陈超. 城市轨道车辆自动塞拉门系统研究[D]. 南京: 南京理工大学, 2003.
    [9]
    任金宝, 邢宗义. 基于Minitab统计分析软件的地铁车辆车门可靠性评估方法研究[J] . 城市轨道交通研究,2015,18(9):90 − 94.
    [10]
    曾华, 刘雁鸣, 熊德之. 概率论与数理统计[M]. 北京: 科学出版社, 2014.
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