Research on risk assessment of high-voltage equipment of electric locomotives

doi:10.16265/j.cnki.issn1003-3033.2018.S1.031

Abstract

Abstract: In order to improve the safety management level of high voltage equipment of electric locomotives, the risk control analysis method was applied to establish a risk matrix and a system risk assessment of high pressure equipment of electric locomotives was carried out. Combined with the fault statistics of high-voltage equipment of electric locomotives, the serious risks of high-voltage equipment of electric locomotives were identified, risk control and safety protection measures were proposed for higher risk equipment. The results show that the risk assessment study of high voltage equipment for electric locomotives can effectively assess the degree of risk and prevent the frequency of equipment failures. The safety protection technology is applied to equipment, and the frequency of equipment failures and consequences is effectively reduced. The capacity of the depot for safety control is promoted.

Key words: electric locomotive, high-voltage equipment, risk control, risk matrix, risk assessment, safety protection

CLC Number:

X951

ZHU Haijun. Research on risk assessment of high-voltage equipment of electric locomotives[J]. China Safety Science Journal, 2018, 28(S1): 166-171.

References

[1] GB/T 21562—2008/IEC 62278:2002,轨道交通可靠性、可用性、可维修性和安全性规范及示例[S].
GB/T 21562-2008/IEC 62278:2002,Railway applications-specification and demonstration of reliability, availability,maintainability and safety(RAMS)[S].
[2] 曹云, 徐卫亚. 系统工程风险评估方法的研究进展[J]. 中国工程科学, 2005, 7(6): 88-94.
CAO Yun, XU Weiya. A review on the risk assessment methods of system engineering[J]. Engineering Science,2005, 7(6): 88-94.
[3] 李晓宇, 孙春华, 郭湛. 基于风险矩阵方法的铁路线路风险评估研究[J]. 铁道技术监督, 2015, 43(3): 24-28.
LI Xiaoyu, SUN Chunhua, GUO Zhan. Based on risk matrix method railway lines risk assessment[J]. Railway Quality control, 2015, 43(3): 24-28.
[4] 郭仲伟. 风险分析与决策[M]. 北京: 机械工业出版社, 1986.
[5] 段永胜, 赵继广, 陈鹏, 等. 一种考虑认知不确定性的风险矩阵分析方法[J]. 中国安全科学学报, 2017, 27(2): 70-74.
DUAN Yongsheng, ZHAO Jiguang, CHEN Peng, et al. A risk matrix analysis method considering cognitive uncertainty[J]. China Safety Science Journal, 2017, 27(2): 70-74.
[6] 李聪波, 刘飞, 谭显春, 等. 基于风险矩阵和模糊集的绿色制造实施风险评估方法[J]. 计算机集成制造系统, 2010, 16(1): 209-214.
LI Congbo, LIU Fei, TAN Xianchun, et al. Green manufacturing implement assessment method based on risk matrix and fuzzy set theory[J]. Computer Integrated Manufacturing Systems, 2010, 16(1): 209-214.
[7] 周红, 刘洋. 结合FAHP和频率分析的地铁工程FMEA风险评价应用研究[J]. 工程管理学报, 2015, 29(1): 53-58.
ZHUO Hong, LIU Yang. Application of metro project risk rvaluation based on FMEA combined with FAHP and frequency analysis[J]. Journal of Engineering Management, 2015, 29(1): 53-58.
[8] 朱江洪, 李国芳, 王睿, 等. 地铁列车非正常停车FMEA风险评估[J]. 中国安全科学学报, 2017, 27(2): 145-150.
ZHU Jianghong, LI Guofang, WANG Rui, et al. FMEA based assessment of risk that metro train stops abnormally[J]. China Safety Science Journal, 2017, 27(2): 145-150.
[9] 中华人民共和国国务院. 铁路交通事故应急救援和调查处理条例[L].2007-09-01.
[10] 中华人民共和国铁道部. 铁路交通事故调查处理规则[L].2007-09-01.
[11] 陈勇刚. 风险矩阵在民航机务维修质量风险管理中的应用[J]. 工业工程与管理, 2014, 19(1): 138-142.
CHEN Yonggang. Application of risk matrix in civil aviation maintenance quality risk management[J]. Industrial, Engineering and Manegerment, 2014, 19(1): 138-142.
[12] 阮欣, 尹志逸, 陈艾荣. 风险评估方法研究与工程应用综述[J]. 同济大学学报, 2013, 41(3): 381-385.
RUAN Xin, YIN Zhiyi, CHEN Airong. A review on risk matrix method and its engineering application[J]. Journal of Tongji University, 2013, 41(3): 381-385.

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