Use of Flexible Wheelset Model, Comb Filter and Track Identification to Derive Rail Roughness from Axle-Box Acceleration in the Presence of Wheel Roughness-Reference-Cited by-同舟云学术

Use of Flexible Wheelset Model, Comb Filter and Track Identification to Derive Rail Roughness from Axle-Box Acceleration in the Presence of Wheel Roughness

Published:2024 Issue: Volume: Page:275-283
ISSN:2195-4356
Container-title:Lecture Notes in Mechanical Engineering
language:en
Short-container-title:

Author:

Carrigan Tobias D.,Talbot James P.

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-99-7852-6_25

Reference7 articles.

1. Salvador P et al (2016) Axlebox accelerations: their acquisition and time-frequency characterisation for railway track monitoring purposes. Measurement 82(3):301–312

2. Bongini E, Grassie SL, Saxon MJ (2012) ‘Noise mapping’ of a railway network: validation and use of a system based on measurement of axlebox vibration. In: Maeda T et al (eds) Noise and vibration mitigation, NNFM 118. Springer, Tokyo, pp 505–513

3. Carrigan TD, Talbot JP (2021) Extracting information from axle-box accelerometers: on the derivation of rail roughness spectra in the presence of wheel roughness. In: Degrande G et al (eds) Noise and vibration mitigation, NNFM 150. Springer, Cham, pp 286–294

4. Tufano AR et al (2021) Numerical and experimental analysis of transfer functions for on-board indirect measurements of rail acoustic roughness. In: Degrande G et al (eds) Noise and vibration mitigation, NNFM 150. Springer, Cham, pp 286–294

5. Carrigan TD, Talbot JP (2022) Addressing challenges in measuring rail roughness using axle-box accelerometers on trains. In: Proceeding 28th international congress sound vibration, Singapore

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