C. Li, S. Luo, and C. Cole, An overview: modern techniques for railway vehicle on-board health monitoring systems, Vehicle System Dynamics, vol.55, issue.7, pp.1045-1070, 2017.

G. Perrin, D. Duhamel, and C. Soize, Quantification of the influence of the track geometry variability on the train dynamics. Mechanical Systems and Signal Processing, vol.60, pp.945-957, 2015.
URL : https://hal.archives-ouvertes.fr/hal-01137530

N. Lestoille, C. Soize, and C. Funfschilling, Sensitivity of train stochastic dynamics to long-time evolution of track irregularities, Vehicle System Dynamics, vol.54, issue.5, pp.545-567, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01276447

N. Lestoille, C. Soize, and C. Funfschilling, Stochastic prediction of high-speed train dynamics to long-term evolution of track irregularities, Mechanics Research Communications, vol.75, pp.29-39, 2016.
URL : https://hal.archives-ouvertes.fr/hal-01325285

C. F. Hung and W. L. Hsu, Influence of the long-wavelength track irregularities on the motion of a high-speed train, Vehicle System Dynamics, vol.56, pp.95-112, 2018.

A. J. Bing and A. Gross, Development of railroad track degradation models, Transportation research record, vol.939, pp.27-31, 1983.

P. Weston, C. Roberts, and G. Yeo, Perspectives on railway track geometry condition monitoring from in-service railway vehicles. Vehicle System Dynamics, vol.53, pp.1063-1091, 2015.

D. Lebel, C. Soize, and C. Funfschilling, Statistical inverse identification for nonlinear train dynamics using a surrogate model in a bayesian framework, Journal of Sound and Vibration, 2018.
URL : https://hal.archives-ouvertes.fr/hal-02175507

D. Lebel, Statistical inverse problem in nonlinear high-speed train dynamics

R. Sunder, A. Kolbasseff, and K. Kieninger, Operational Experiences with Onboard Diagnosis System for High Speed Trains, Proceedings of the World, 2001.

X. Wei, L. Jia, and H. Liu, A comparative study on fault detection methods of rail vehicle suspension systems based on acceleration measurements, Vehicle System Dynamics, vol.51, issue.5, pp.700-720, 2013.

T. X. Mei and X. J. Ding, Condition monitoring of rail vehicle suspensions based on changes in system dynamic interactions, Vehicle System Dynamics, vol.47, issue.9, pp.1167-1181, 2009.

R. M. Martinod, G. R. Betancur, and L. Heredia, Identification of the technical state of suspension elements in railway systems, Vehicle System Dynamics, vol.50, issue.7, pp.1121-1135, 2012.

L. Gasparetto, S. Alfi, and S. Bruni, Data-driven condition-based monitoring of high-speed railway bogies, International Journal of Rail Transportation, vol.1, issue.1-2, pp.42-56, 2013.

J. S. Sakellariou, P. Ka, and S. D. Fassois, On board fault detection and identification in railway vehicle suspensions via a functional model based method, Proc. of ISMA, 2002.

S. Alfi, S. Bionda, and S. Bruni, Condition monitoring of suspension components in railway bogies, 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing, 2011.

M. Jesussek and K. Ellermann, Fault detection and isolation for a full-scale railway vehicle suspension with multiple Kalman filters. Vehicle System Dynamics, vol.52, pp.1695-1715, 2014.

Y. Hayashi, H. Tsunashima, and Y. Marumo, Fault Detection of Railway Vehicle Suspension Systems Using Multiple-Model Approach, Journal of Mechanical Systems for Transportation and Logistics, vol.1, issue.1, pp.88-99, 2008.

H. Mori and H. Tsunashima, Condition Monitoring of Railway Vehicle Suspension Using Multiple Model Approach, Journal of Mechanical Systems for Transportation and Logistics, vol.3, issue.1, pp.243-258, 2010.

P. Li, R. Goodall, and V. Kadirkamanathan, Estimation of parameters in a linear state space model using a Rao-Blackwellised particle filter, IEE Proceedings-control theory and applications

P. Li, R. Goodall, and P. Weston, Estimation of railway vehicle suspension parameters for condition monitoring, Control Engineering Practice, vol.15, pp.43-55, 2007.

M. Jesussek and K. Ellermann, Fault detection and isolation for a nonlinear railway vehicle suspension with a hybrid extended kalman filter. Vehicle System Dynamics, vol.51, pp.1489-1501, 2013.

P. Li and R. Goodall, Model-Based Condition Monitoring for Railway Vehicle Systems, Control, 2004.

X. Y. Liu, S. Alfi, and S. Bruni, An efficient recursive least square-based condition monitoring approach for a rail vehicle suspension system, Vehicle System Dynamics, vol.54, issue.6, pp.814-830, 2016.

S. Kraft, Parameter identification for a TGV model
URL : https://hal.archives-ouvertes.fr/tel-00731143

P. Ecole-centrale, , 2012.

G. Perrin, C. Soize, and D. Duhamel, Track irregularities stochastic modeling, Probabilistic Engineering Mechanics, vol.34, pp.123-130, 2013.
URL : https://hal.archives-ouvertes.fr/hal-00850645

G. Perrin, C. Soize, and N. Ouhbi, Data-driven kernel representations for sampling with an unknown block dependence structure under correlation constraints, Computational Statistics and Data Analysis, vol.119, pp.139-154, 2018.
URL : https://hal.archives-ouvertes.fr/hal-01634877

G. Götz and O. Polach, Verification and validation of simulations in a rail vehicle certification context, International Journal of Rail Transportation, vol.6, issue.2, pp.83-100, 2018.