High-speed train suspension health monitoring using computational dynamics and acceleration measurements
Author:
Affiliation:
1. Université Paris-Est Marne-la-Vallée, MSME, UMR 8208, CNRS, Marne-la-Vallée, France
2. SNCF Innovation and Recherche, Paris, France
3. CEA DAM DIF, Bruyères-le-Chatel, Arpajon Cedex, France
Publisher
Informa UK Limited
Subject
Mechanical Engineering,Safety, Risk, Reliability and Quality,Automotive Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/00423114.2019.1601744
Reference21 articles.
1. An overview: modern techniques for railway vehicle on-board health monitoring systems
2. Quantification of the influence of the track geometry variability on the train dynamics
3. Sensitivity of train stochastic dynamics to long-term evolution of track irregularities
4. Stochastic prediction of high-speed train dynamics to long-term evolution of track irregularities
5. Influence of long-wavelength track irregularities on the motion of a high-speed train
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