Current criteria to judge wheel skid of trains such as velocity difference often cannot recognize wheel skid timely and have no uniform critical value for different trains or railway lines. Aiming at the disadvantages, new criteria based on time series analysis are proposed. With appropriate method of order determination and parameter estimation, AR time series model is established for the data series of velocity difference. Then, Greens function and characteristic equation are constructed with the parameters of the model to determine wheel skid by the convergence state of Greens function or the value of characteristic equations roots. Simulation result shows that the two criteria based on time series model can recognize wheel skid earlier than velocity difference. Moreover, the roots of characteristic equation can also be used as a criterion with a uniform critical value under different application conditions.


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    Titel :

    Criteria for Recognition of Wheel Skid of Trains Based on Time Series Analysis


    Beteiligte:
    Peng, Jun-Bin (Autor:in) / Hu, Xiao-Yi (Autor:in) / Liu, Yong-Jun (Autor:in)


    Erscheinungsdatum :

    2013


    Format / Umfang :

    6 Seiten




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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