计算机集成制造系统 ›› 2019, Vol. 25 ›› Issue (第7): 1630-1638.DOI: 10.13196/j.cims.2019.07.003

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基于区间二元语义与故障模式及影响分析的地铁车门故障风险评估

朱江洪1,2,李延来1+   

  1. 1.西南交通大学交通运输与物流学院
    2.西南交通大学唐山研究生院
  • 出版日期:2019-07-31 发布日期:2019-07-31
  • 基金资助:
    国家自然科学基金资助项目(71371156);西南交通大学博士研究生创新基金资助项目(D-CX201729)。

Risk assessment of metro door fault based on interval-valued 2-tuple linguistic and FMEA

  • Online:2019-07-31 Published:2019-07-31
  • Supported by:
    Project supported by the National Natural Science Foundation,China(No.71371156),and the Doctoral Innovation Fund of Southwest Jiaotong University,China(No.D-CX201729).

摘要: 针对地铁车门系统故障风险评估中的模糊性和不确定性问题,提出基于区间二元语义与故障模式及影响分析的地铁车门故障风险评估模型。针对专家判断的模糊性和不确定性,利用区间二元语义表征专家评估信息;定义共识度来刻画专家与群体间的偏离程度,并引入共识达成过程以提高专家间的共识度;为在故障模式风险排序中刻画专家的风险偏好,引入风险偏好参数改进多属性边界逼近区域比较法以确定故障模式风险优先序。以地铁车门故障风险评估为例验证了模型的有效性和可行性,结果表明:故障模式风险排序前3位的是电子门控器、锁闭行程开关S1和螺母组件,检修部门应采取科学的检修措施以降低风险。

关键词: 地铁车门系统, 故障模式及影响分析, 区间二元语义, 风险评估, 共识度, 多属性边界逼近区域比较法

Abstract: To deal with the fuzziness and uncertainty in the risk assessment of metro door fault,a risk assessment model of metro door fault based on interval-valued 2-tuple linguistic and Failure Modes and Effects Analysis (FMEA) was proposed.The interval-valued 2-tuple linguistic was employed to express expert's evaluation information for the fuzziness and uncertainty of expert's judgment.Then the degree of consensus was defined to describe the degree of deviation between experts and groups,and a consensus reaching process was introduced to improve the degree of consensus among experts.To reflect the risk preference of experts in the risk ranking of failure modes,the Multi-Attribute Border Approximation Area Comparison (MABAC) method was modified to determine the risk priority of failure modes by introducing a risk preference parameter.The case of risk assessment of metro door fault was provided to demonstrate the validity and feasibility of the presented model.The results showed that the top three of risk ranking order of failure modes were the Electronic Door Control Unit (EDCU),locking travel switches S1 and nut components.Therefore,the maintenance department should take scientific maintenance measures to reduce these risks.

Key words: metro door system, failure modes and effects analysis, interval-valued 2-tuple linguistic, risk assessment, consensus degree, multi-attribute border approximation area comparison method

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