Ward_Goodall_Dixon_Charles_VSD_paper.pdf (566.92 kB)
0/0

Adhesion estimation at the wheel–rail interface using advanced model-based filtering

Download (566.92 kB)
journal contribution
posted on 25.07.2012 by Christopher Ward, Roger Goodall, Roger Dixon, Guy Charles
The railway industry in the UK is currently expanding the use of condition monitoring of railway vehicles. These systems can be used to improve maintenance procedures or could potentially be used to monitor current vehicle running conditions without the use of cost prohibitive sensors. This paper looks at a novel method for the online detection of areas of low adhesion in the wheel/rail contact that cause significant disruption to the running of a network, particularly in the autumn season. The proposed method uses a Kalman–Bucy filter to estimate the creep forces in the wheel–rail contact area; post-processing is then applied to provide information indicative of the actual adhesion level. The algorithm uses data that, in practice, would be available from a set of modest cost inertial sensors mounted on the vehicle bogie and wheel-sets. The efficacy of the approach is demonstrated using simulation data from a nonlinear dynamic model of the vehicle and its track interface.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

WARD, C.P. ... et al, 2012. Adhesion estimation at the wheel–rail interface using advanced model-based filtering. Vehicle System Dynamics: international journal of vehicle mechanics and mobility, 50 (12), pp.1797-1816.

Publisher

© Taylor and Francis

Version

AM (Accepted Manuscript)

Publication date

2012

Notes

This is an electronic version of an article published in Vehicle System Dynamics: International Journal of Vehicle Mechanics and Mobility: http://www.tandfonline.com/doi/abs/10.1080/00423114.2012.707782

ISSN

0042-3114

eISSN

1744-5159

Language

en

Exports