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Reliability Analysis of the Sliding Plug Door System Based on Bayesian Network

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Proceedings of the 2013 International Conference on Electrical and Information Technologies for Rail Transportation (EITRT2013)-Volume II

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 288))

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Abstract

The metro door system is one of the high failure rate systems of metro vehicles, and the failure of driver motor is the major cause of the door failure, so the Bayesian network (BN) is applied to analyze the reliability of drive motor. First, the BN of the drive motor is established according to its fault tree, and the failure probability of drive motor is calculated by the method of bucket elimination. Then the fault diagnosis of the drive motor is made through the posterior probability. Finally, the key links of door system are affirmed based on the sensitivity of each basic event, which can provide support and reference for the maintenance of door system.

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Acknowledgments

This research is supported by National High-tech R&D program of China (863 Program, No.2011AA110501) and National Technology R&D Program of China (No. BAG01B05 The supports are gratefully acknowledged.

Author information

Authors and Affiliations

  1. School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China

    Lingli Mao & Zongyi Xing

  2. Engineering Technology Research Center, Guangzhou Metro Corporation, Guangzhou, 510030, China

    Zhaoyi Su & Jing Long

  3. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, 100044, China

    Limin Jia

Authors
  1. Lingli Mao
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  2. Zhaoyi Su
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  3. Jing Long
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  4. Limin Jia
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  5. Zongyi Xing
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Corresponding author

Correspondence to Zongyi Xing .

Editor information

Editors and Affiliations

  1. Beijing Jiaotong University, Beijing, China

    Limin Jia

  2. Beijing Jiaotong University, Beijing, China

    Zhigang Liu

  3. Beijing Jiaotong University, Beijing, China

    Yong Qin

  4. China CNR Changchun Railway Vehicles Co., Changchun, China

    Minghua Zhao

  5. Beijing Jiaotong University, Beijing, China

    Lijun Diao

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© 2014 Springer-Verlag Berlin Heidelberg

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Mao, L., Su, Z., Long, J., Jia, L., Xing, Z. (2014). Reliability Analysis of the Sliding Plug Door System Based on Bayesian Network. In: Jia, L., Liu, Z., Qin, Y., Zhao, M., Diao, L. (eds) Proceedings of the 2013 International Conference on Electrical and Information Technologies for Rail Transportation (EITRT2013)-Volume II. Lecture Notes in Electrical Engineering, vol 288. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53751-6_26

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  • DOI: https://doi.org/10.1007/978-3-642-53751-6_26

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53750-9

  • Online ISBN: 978-3-642-53751-6

  • eBook Packages: EngineeringEngineering (R0)

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