Fuzzy identification of rail track parameters

The numerical values of rail track and traction line impedance and admittance ate site and environment specific and are consequently difficult to assess except for precisely known conditions. 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 will be 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.