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Chapitre D'ouvrage Année : 2024

Multiple sensors and partial calibration for on-board measurement of rail acoustic roughness: results of rolling tests

Résumé

The indirect measurement of roughness using vibro-acoustic sensors on board rolling stock is promising, as shown by recent research on this topic. However, a number of improvements can be made to the existing methods to extend their range of validity. In this paper, the performance of the multi-sensor method developed in the framework of the French research project MEEQUAI is presented. The estimation of the effective roughness is per-formed for different sensor families using a least squares method in the fre-quency domain, from the signal spectra in third octave and modelled transfer functions corresponding to the detected track layout. A partial calibration method is also proposed. The calibration gain is relative and allows the vari-ability of the transfers with the track support to be retained, thanks to the models. The method was tested in France with sensors installed on a test train running at several speeds on a track section of a railway test center as well as on two track sections of the national railway network with different supports.
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Dates et versions

hal-04519963 , version 1 (25-03-2024)

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Olivier Chiello, Adrien Le Bellec, Marie-Agnès Pallas, Rita Tufano, Romain Augez, et al.. Multiple sensors and partial calibration for on-board measurement of rail acoustic roughness: results of rolling tests. Sheng, X., et al. Noise and Vibration Mitigation for Rail Transportation Systems., Springer, Singapore, pp.53-62, 2024, Lecture Notes in Mechanical Engineering, 978-981-99-7852-6. ⟨10.1007/978-981-99-7852-6_3⟩. ⟨hal-04519963⟩
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