The numerical values of rail track and traction line impedance and admittance are site- and environment-specific and are consequently difficult to assess except for precisely known conditions. The identification of track parameters based on fuzzy techniques represents a promising approach since only approximate qualitative knowledge of the track component and ground material properties and their environmental variations are required. Such a fuzzy model is described in this paper. The model has been calibrated using verified reference data derived by finite element analysis, and is accurate to less than 30% compared with the given reference data.


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    Title :

    Fuzzy identification of rail track parameters


    Contributors:
    Hill, R.J. (author) / Pozzobon, P. (author)


    Publication date :

    1997-01-01


    Size :

    828095 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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