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Volume 54 Issue 3
Jun.  2019
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Journal of Southwest Jiaotong University  > 2019  >  54(3): 535-541.
LIU Yumei, CHEN Yun, ZHAO Congcong, XIONG Mingye, QIAO Ningguo. Assessment for External Influence Factors of High-Speed Train Transmission Reliability[J]. Journal of Southwest Jiaotong University, 2019, 54(3): 535-541. doi: 10.3969/j.issn.0258-2724.20170563
Citation: LIU Yumei, CHEN Yun, ZHAO Congcong, XIONG Mingye, QIAO Ningguo. Assessment for External Influence Factors of High-Speed Train Transmission Reliability[J]. Journal of Southwest Jiaotong University, 2019, 54(3): 535-541. doi: 10.3969/j.issn.0258-2724.20170563
shu

Assessment for External Influence Factors of High-Speed Train Transmission Reliability

doi: 10.3969/j.issn.0258-2724.20170563
  • Received Date: 19 Jul 2017
  • Rev Recd Date: 17 Jan 2018
    • Available Online: 23 Feb 2019
  • Publish Date: 01 Jun 2019
    Abstract
  • For the study of external influence factors besides its components impact on the high-speed train transmission reliability, the external influence factors of the CHR3 high-speed train transmission reliability are analyzed based on fuzzy influence diagram (FID). First, Frequency fuzzy sets, state fuzzy sets and fuzzy relation were built by the expert questionnaires. The relational layer, number layer and function layer of FID were constructed for the transmission reliability. Furthermore, the frequency matrix of extrinsic impact factors such as personnel, infrastructure, environment, maintenance and management is calculated based on the fuzzy set theory. Finally, get the reduced state cumulative probability and the cumulative increase probability of external influence factors. The reduced state cumulative probability of the personnel situation and the management level is 39.9% and 42.5%, and the cumulative increase probability is 77.6% and 90.9%, and the cumulative probability distribution is similar to the reliability of transmission probability distribution..In summary, the staff and management are the key extrinsic impact factors for the transmission reliability, and other factors are secondary.

     

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  • 李宛瞳. 高速列车运用安全评估方法及实例研究[D]. 北京: 北京交通大学, 2016
    向泽锐,徐伯初,支锦亦. 中国高速列车工业设计研究综述与展望[J]. 铁道学报,2013,35(12): 12-13.

    XIANG Zerui, XU Bochu, ZHI Jinyi. Review and prospect of research of industrial design of high-speed train in China[J]. Journal of The China Railway Society, 2013, 35(12): 12-13.
    刘玉梅,赵聪聪,熊明烨,等. 高速列车传动系统特征参数经典域优化[J]. 西南交通大学学报,2016,51(1): 85-90,120.

    LIU Yumei, ZHAO Congcong, XIONG Mingye, et al. Optimization of classical domains for high-speed train transmission system[J]. Journal of Southwest Jiaotong University, 2016, 51(1): 85-90,120.
    杨靖. 侧风下高速列车运行安全性分析[J]. 机械工程与自动化,2016,10(5): 19-20, 24.

    YANG Jing. Safety analysis of high-speed train under crosswind[J]. Mechanical Engineering and Automation, 2016, 10(5): 19-20, 24.
    DIEHL M, HAIMES Y Y. Influence diagrams with multiple objectives and trade off analysis[J]. IEEE Transactions on Systems,Man and Cybernetics-Part A:Systems and Humans (S1083−4427), 2004, 24(3): 293-304.
    杨娜. 基于模糊影响图的铁路电气化改造施工安全风险评价[D]. 成都: 西南交通大学, 2014
    刘合香. 模糊数学理论及其应用[M]. 北京: 科学出版社, 2012: 2-12
    赵聪聪. 高速列车传动系可靠性分析与评估[D]. 长春: 吉林大学, 2016
    程铁信,王平,张伟波. 模糊影响图评价算法的探讨[J]. 系统工程学报,2004(2): 177-182. doi: 10.3969/j.issn.1000-5781.2004.02.012

    CHENG Tiexin, WANG Ping, ZHANG Weibo. Investigation on fuzzy influence diagrams evaluation algorithm[J]. Journal of Systems Engineering, 2004(2): 177-182. doi: 10.3969/j.issn.1000-5781.2004.02.012
    常志朋,王永利,程龙生. 基于模糊影响图与D-S证据理论的多属性群决策方法[J]. 模糊系统与数学,2014,28(4): 100-109.

    CHANG Zhipeng, WANG Yongli, CHENG Longsheng. Multiple attribute group decision making method based on fuzzy influence diagram and D-S evidence theory[J]. Fuzzy Systems and Mathematics, 2014, 28(4): 100-109.
    方学进. 基于模糊影响图的隧道施工安全风险评价研究[D]. 重庆: 重庆交通大学, 2009
    樊红,冯恩德. 概率影响图在船舶综合安全评估中的应用[J]. 船舶工程,2004(5): 3-5.

    FAN Hong, FENG Endeng. The application of probabilistic influence diagram in FSA[J]. Ship Ocean Engineering, 2004(5): 3-5.
    HOWARD R A, MATHESON J E. Reading on the principle and application of decision analysis[M]. New York: American Mathematical Society, 1993: 25-30
    SHACHTER R D. Probabilistic inference and influence diagrams[J]. Operation Research, 1988, 36(4): 589-605. doi: 10.1287/opre.36.4.589
    黄文静. 概率模糊集理论研究及其建模[D]. 长沙: 中南大学, 2013
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