Abstract
In the case of long-term operation, the wear level of the wheelset is intensified with the increase of the operating mileage. In addition, the unreasonable repair strategy will accelerate the consumption of the wheelset life and increase the operating cost. In order to extend the life of the wheelset, firstly, a large number of on-field measurement wheel size data are initially analyzed and relevant laws are got. Based on this, a data-driven wheelset life prediction model is established to predict the wheelset life. Finally, according to the statistical law of historical data, the wheelset reversal strategy and multi-template selection strategy are proposed. Based on the two strategies, a hybrid repair strategy is proposed. After comparison and analysis, it verifies the optimization effect of the proposed strategy. It can effectively extend the wheelset life.
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Acknowledgements
This work is supported by National Key R&D Program of China (2017YFB1201102).
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Xu, X., Ye, Z., Zhang, J., Xing, Z., Liu, Y. (2020). Research on the Wheelset Life Optimization of Urban Rail Transit Trains. In: Liu, B., Jia, L., Qin, Y., 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 640. Springer, Singapore. https://doi.org/10.1007/978-981-15-2914-6_12
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DOI: https://doi.org/10.1007/978-981-15-2914-6_12
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