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Application of DBN for Assessment of Railway Intelligent Signal System Reliability

  • Zhengjiao Li
  • Bai-gen Cai
  • Shaobin Li
  • Jiang Liu
  • Debiao Lu
Conference paper
First Online:
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 482)

Abstract

According to the variable structure characteristics of railway intelligent signal system (RISS) with different railway station scale, a new reliability assessment method based on Dynamic Bayesian Networks (DBN) is studied. A comparison between DBN model and probabilistic model is studied to verify the accuracy and correctness of DBN model. Based on DBN model, the static gates analyzing results deliver a calculation with no error, while the spare gate analyzing results deliver a calculation with a tolerable error that leads to more strictly and credible calculations. Meanwhile, this paper analyzes reliability indexes of RISS with four different railway station scale. The results show that: when the railway station scale increases, the reliability of RISS decreases, which has little impact on the ranking of the components’ Birnbaum importance factor and diagnostic importance factor.

Keywords

Railway intelligent signal system Dynamic bayesian networks Reliability assessment 
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Notes

Acknowledgements

This work was supported by National Natural Science Foundation of China under Grant No. 61490705, National Natural Science Foundation of China under Grant No. 61603027 and the Fundamental Research Funds for the Central Universities under Grant 2015JBM012.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  • Zhengjiao Li
    • 1
  • Bai-gen Cai
    • 1
  • Shaobin Li
    • 1
  • Jiang Liu
    • 1
  • Debiao Lu
    • 1
  1. 1.School of Electronic and Information EngineeringBeijing Jiaotong UniversityBeijingChina

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