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Application of Inverse Linear and Nonlinear Models in the Identification of Rail Track Irregularities

Czop P., Mendrok K.

Machine Dynamics Research

2010

Vol. 34, No. 3

47-62

The paper presents an application of the loading force identification method, based on the inversion of regressive parametric models, in the reconstruction of rail irregularities. The irregularities are identified from the accelerations of vibration signals measured on the axle boxes of the vehicles in motion. The experimental test results showed that, in the case of measurement data corrupted by noise, nonlinear models provide a slightly better accuracy of inversion than linear ones. In the paper both numerical and experimental verification of the method are shown.