Titlebook: Noise and Vibration Mitigation for Rail Transportation Systems; Proceedings of the 1 Xiaozhen Sheng,David Thompson,Thorsten Tielkes Confere

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Multiple Sensors and Partial Calibration for On-Board Measurement of Rail Acoustic Roughness: Resulty 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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Towards Rail Noise Identification and Localization Based on Deep Learning effects on various sound conditions are then discussed. Results show that the proposed method offers a new perspective to disentangle intertwined noises, shedding light on mitigation measures and thus a sustainable rail system.

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