EDP Sciences logo
Submit your paper
Search
Menu
All issues Volume 20 / No 1 (2019) Mechanics & Industry, 20 1 (2019) 102 References
Open Access
Issue
Mechanics & Industry
Volume 20, Number 1, 2019
Article Number 102
Number of page(s) 14
DOI https://doi.org/10.1051/meca/2018051
Published online 08 February 2019
  1. S. Kraft, C. Funfschilling, G. Puel, D. Aubry, Predictive maintenance by the identification of suspension parameters from online acceleration measurements, Proceedings of ISMA, 2010, pp. 3503–3518 [Google Scholar]
  2. S. Bruni, R. Goodall, T.X. Mei, H. Tsunashima, Control and monitoring for railway vehicle dynamics, Veh. Syst. Dyn. 45 (2007) 743–779 [Google Scholar]
  3. R.M. Goodall, C. Roberts, Concept and techniques for railway condition monitoring, Proceedings of the International Conference on Railway Condition Monitoring, 2006, pp. 90–95 [Google Scholar]
  4. R.W. Ngigi, C. Pîslaru, A. Ball, F. Gu, Modern techniques for condition monitoring of railway vehicle dynamics, J. Phys. Conf. Ser. 364 (2012) 012016 [Google Scholar]
  5. M. Dumitriu, Numerical analysis of the influence of lateral suspension parameters on the ride quality of railway vehicles, J. Theor. Appl. Mech. 54 (2016) 1231–1243 [CrossRef] [Google Scholar]
  6. M. Dumitriu, Influence of the suspension damping on ride comfort of passenger railway vehicles, UPB Sci. Bull. D Mech. Eng. 74 (2012) 75–90 [Google Scholar]
  7. M. Dumitriu, Influence of the longitudinal and lateral suspension damping on the vibration behaviour in the railway vehicles, Arch. Mech. Eng. 62 (2015) 115–140 [CrossRef] [Google Scholar]
  8. M. Dumitriu, A parametric study on the influence of the nonlinear characteristics of the secondary suspension upon the vertical vibrations in the railway vehicles, UPB Sci. Bull. D Mech. Eng. 80 (2018) 125–140 [Google Scholar]
  9. S. Alfi, S. Bionda, S. Bruni, L. Gasparetto, Condition monitoring of suspension components in railway bogies, Proceedings of the 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing, 2011, pp. 1–6 [Google Scholar]
  10. P. Li, R. Goodall, P. Weston, C.S. Ling, C. Goodman, Estimation of railway vehicle suspension parameters for condition monitoring, Control Eng. Pract. 15 (2007) 43–55 [Google Scholar]
  11. M. Jesussek, K. Ellermann, Fault detection and isolation for a railway vehicle by evaluating estimation residuals, Procedia IUTAM 13 (2015) 14–23 [Google Scholar]
  12. M. Jesussek, K. Ellermann, Fault detection and isolation for a nonlinear railway vehicle suspension system, J. Vib. Eng. Technol. 3 (2015) 743–758 [Google Scholar]
  13. J.S. Sakellariou, J.S. Konstantinos, A. Petsounis, S.D. Fassois, Vibration based fault diagnosis for railway vehicle suspensions via a functional model based method: a feasibility study, J. Mech. Sci. Technol. 29 (2015) 471–484 [CrossRef] [Google Scholar]
  14. M. Dumitriu, Influence of damping suspension on the vibration eigenmodes of railway vehicles, Mech. J. Fiability Durability 1 (2013) 109–115 [Google Scholar]
  15. P.M. Frank, S.X. Ding, T. Marcu, Model-based fault diagnosis in technical processes, Trans. Inst. Meas. Control 22 (2000) 57–101 [CrossRef] [Google Scholar]
  16. P. Li, R. Goodall, Model-based condition monitoring for railway vehicle systems, Proceedings of the UKACC International Conference on Control, University of Bath, UK, September 2004 [Google Scholar]
  17. H. Tsunashima, Y. Hayashi, H. Mori, Y. Marumo, Condition monitoring and fault detection of railway vehicle suspension using multiple-model approach, Proceedings of the 17th World Congress, the International Federation of Automatic Control, Seoul, Korea, July 6–11, 2008, pp. 584–589 [Google Scholar]
  18. H. Tsunashima, H. Mori, Condition monitoring of railway vehicle suspension using adaptive multiple model approach, Proceedings of the International Conference on Control, Automation and Systems, Gyeonggi-do, Korea, 2010, pp. 584–589 [Google Scholar]
  19. T. Oba, K. Yamada, N. Okada, K. Tanifuji, Condition monitoring for Shinkansen bogies based on vibration analysis, J. Mech. Syst. Transport. Logistics 2 (2009) 133–144 [CrossRef] [Google Scholar]
  20. X. Wei, L. Jia, H. Liu, A comparative study on fault detection methods of rail vehicle suspension systems based on acceleration measurements, Veh. Syst. Dyn. 51 (2013) 700–720 [CrossRef] [Google Scholar]
  21. M. Dumitriu, Numerical synthesis of the track alignment and applications. Part I: the synthesis method, Transp. Probl. 11 (2016) 19–28 [Google Scholar]
  22. C 116, Interaction between vehicles and track, RP 1, Power spectral density of track irregularities, Part 1: definitions, conventions and available data, Utrecht, 1971 [Google Scholar]
  23. UIC 518 Leaflet, Testing and approval of railway vehicles from the point of view of their dynamic behaviour − safety − track fatigue − running behaviour, 2009 [Google Scholar]
  24. M. Dumitriu, Analysis of the dynamic response in the railway vehicles to the track vertical irregularities. Part II: the numerical analysis, J. Eng. Sci. Technol. Rev. 8 (2015) 32–39 [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.