Risk evaluation of bogie system based on extension theory and entropy weight method

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Abstract

A bogie system is the key equipment of railway vehicles. Rigorous practical evaluation of bogies is still a challenge. Presently, there is overreliance on part-specific experiments in practice. In the present work, a risk evaluation index system of a bogie system has been established based on the inspection data and experts' evaluation. Then, considering quantitative and qualitative aspects, the risk state of a bogie system has been evaluated using an extension theory and an entropy weight method. Finally, the method has been used to assess the bogie system of four different samples. Results show that this method can assess the risk state of a bogie system exactly.

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Du, Y., Zhang, Y., Zhao, X., & Wang, X. (2014). Risk evaluation of bogie system based on extension theory and entropy weight method. Computational Intelligence and Neuroscience, 2014. https://doi.org/10.1155/2014/195752

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