Identifying Parametric Models Used to Estimate Track Irregularities of a High-Speed Railway

This study aims to identify parametric models estimate track irregularities in high-speed railways with simple acceleration measurements. The primary contribution of current research is the development effective smaller parameters. These parameters are derived from measured data via a specialized geometry inspection system. An adaptive Kalman filter algorithm, using displacement estimated signals as input and output, applied obtain model’s unknown rail vehicles operation, spatial wavelength domains. compared system’s results.