Abstract
This paper presents a fuzzy-based methodology using triangular fuzzy numbers to determine the weight of influencing factors and construct decision matrices in order to reduce the subjective uncertainty associated with influencing factors and decision-makers in traditional criticality analysis. A multi-level evaluation system is established to realize the hierarchical criticality quantitative analysis for failure modes of components and the system. The bogie system as a case example is used to demonstrate the proposed method and the quantitative criticality index of the bogie system can be obtained by using the multi-level fuzzy comprehensive evaluation method. The results show that the proposed method can be used effectively for quantitative criticality analysis of the systems.
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Acknowledgements
The authors gratefully acknowledge the financial support for this research from the National Key Research and Development Program of China (2016YFB1200505-014), High-level Talents Training Program of Ministry of Transportation of China (No. I18I00010), and Major Program of National Natural Science Foundation of China (No.61833002): Fundamental Theory and Methods in Operational Risk Assessment and Control of High Speed Train.
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Wang, X., Qin, Y., Tao, G., Fu, Y., Ye, M. (2020). Multi-level Criticality Analysis of Metro Vehicle Bogie Based on Fuzzy Theory. In: Qin, Y., Jia, L., Liu, B., Liu, Z., Diao, L., An, M. (eds) Proceedings of the 4th International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2019. EITRT 2019. Lecture Notes in Electrical Engineering, vol 639. Springer, Singapore. https://doi.org/10.1007/978-981-15-2866-8_16
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DOI: https://doi.org/10.1007/978-981-15-2866-8_16
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