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Reliability Analysis of On-Board ATP System in Metro Based on Fuzzy Dynamic Fault Tree

  • Jing WangEmail author
  • Tao He
Conference paper
  • 31 Downloads
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1060)

Abstract

This paper proposes a reliability analysis method called fuzzy dynamic fault tree, which can improve the inadequacies of the traditional reliability analysis methods, such as dynamic characteristics unconsidered and accurate data not easy obtained. In this paper, the fuzzy number is used to indicate the failure rate distribution interval and the maintenance rate distribution interval when the unit fails. The dynamic fault tree is used to model the on-board ATP system, the hierarchical iteration method is used to divide the dynamic fault tree model into modules, and the Markov state transfer matrix method combined with the fuzzy number algorithm is finally used to obtain the reliability index distribution of the subway ATP system. The comparison between the obtained reliability index distribution and the results obtained by Isograph shows that fuzzy dynamic fault tree analysis can clearly describe the dynamic characteristics of the system, get higher precision reliability index and is more consistent with the actual situation because of considering repair-ability and the problem of accurate data being not easy to obtain. This method provides a new reference for the reliability analysis and evaluation of metro vehicle ATP system.

Keywords

Dynamic fault tree Fuzzy number Markov matrix interaction method On-board ATP system Reliability 

Notes

Acknowledgements

This work was financially supported by the Natural Science Foundation of China, No. 51767014/2017, the Scientific and Technological Research and Development Program of the China Railway Corporation 2016X003-H.

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.College of Automation and Electrical EngineeringLanzhou Jiaotong UniversityLanzhouChina

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