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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    Title :

    Research on the Wheelset Life Optimization of Urban Rail Transit Trains


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Liu, Baoming (editor) / Jia, Limin (editor) / Qin, Yong (editor) / Liu, Zhigang (editor) / Diao, Lijun (editor) / An, Min (editor) / Xu, Xiaoxiao (author) / Ye, Zhengjun (author) / Zhang, Jianyu (author) / Xing, Zongyi (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2019 ; Qingdao, China October 25, 2019 - October 27, 2019



    Publication date :

    2020-04-02


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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