Abstract
How to further improve the safety of plateau railway’s construction and operation has always been a crucial issue. Therefore, research on risk identification of the plateau Railway is also imperative. Firstly, based on the risk identification system and methods, this article focuses on the multi-source factors of human machine environment management, and obtains a set of key risk factors covering 359 plateau railway systems based on the accident cause analysis model. Then, make full use of expert experience to conduct risk importance analysis to obtain risk importance values. Finally, the concept of functional importance is introduced to calculate the indicators of risk factors in the model, which are linearly weighted with the risk importance. The comprehensive importance value is obtained as the basis for ranking the final risk factors, and targeted solutions and suggestions are proposed based on the top 10 risk factors of the comprehensive importance.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Zhang, Z., Jia, L., Qin, Y.: RAMS analysis of railway network: model development and a case study in China. Smart Resilient Transp. 3(1), 2–11 (2021)
Dutuit, Y., Rauzy, A.: On the extension of importance measures to complex components. Reliab. Eng. Syst. Saf. 142, 161–168 (2015)
Cheok, M.C., Parry, G.W., Sherry, R.R.: Use of importance measures in risk-informed regulatory applications. Reliab. Eng. Syst. Saf. 60(3), 213–226 (1998)
Barlow, R.E., Proschan, F.: Importance of system components and fault tree events. Stochastic Process. Appl. 3(2), 153–173 (1975)
Ramirez-Marquez, J.E., Coit, D.W.: Composite importance measures for multi-state systems with multi-state components. IEEE Trans. Reliab. 54(3), 517–529 (2005)
Si, S., Dui, H., Cai, Z., Sun, S.: The integrated importance measure of multi-state coherent systems for maintenance processes. IEEE Trans. Reliab. 61(2), 266–273 (2012)
Ciani, L., Guidi, G., Patrizi, G.: Fuzzy-based approach to solve classical risk priority number drawbacks for railway signaling systems. IEEE Intell. Transp. Syst. Mag. 15(1), 36–47 (2023)
Catelani, M., Ciani, L., Galar, D., Guidi, G., Matucci, S., Patrizi, G.: FMECA assessment for railway safety-critical systems investigating a new risk threshold method. IEEE Access 9, 86243–86253 (2021)
Panenka, A., Nyobeu Fangue, F.M., et al.: Reliability assessment of ageing infrastructures: an interdisciplinary methodology. Struct. Infrastruct. Eng. 16(4), 698–713 (2020)
Liu, H., Liu, L., Liu, N.: Risk evaluation approaches in failure mode and effects analysis: a literature review. Expert Syst. Appl. 40(2), 828–838 (2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 Beijing Paike Culture Commu. Co., Ltd.
About this paper
Cite this paper
Zhang, Y., Jia, L., Qin, Y., Wang, Z. (2024). Identification and Assessment of Risk Factors in the Plateau Railway System. In: Yang, J., Yao, D., Jia, L., Qin, Y., Liu, Z., Diao, L. (eds) Proceedings of the 6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2023. EITRT 2023. Lecture Notes in Electrical Engineering, vol 1136. Springer, Singapore. https://doi.org/10.1007/978-981-99-9315-4_50
Download citation
DOI: https://doi.org/10.1007/978-981-99-9315-4_50
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-9314-7
Online ISBN: 978-981-99-9315-4
eBook Packages: EngineeringEngineering (R0)