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Title: Contact force estimation in the railway vehicle wheel-rail interface
Authors: Ward, Christopher P.
Goodall, Roger M.
Dixon, Roger
Keywords: Accelerometers
Fault diagnosis
Fault detection
Kalman filters
Nonlinear systems
Vehicle dynamics
Issue Date: 2011
Publisher: © International Federation of Automatic Control
Citation: WARD, C.P., GOODALL, R.M. and DIXON, R., 2011. Contact force estimation in the railway vehicle wheel-rail interface. IN: BITTANTI, S. et al. (eds.). Proceedings of the 18th IFAC World Congress, 18 (1), Milan, Italy, 28 August - 2 September.
Abstract: Increased patronage of railways in the UK in the past 20 years has put demands on rolling stock to operate at peak availability with reduced time available for maintenance. One possible tool to enable this is the use of real time fault detection and diagnosis on board railway vehicles to detect faulty components and provide information about the current running condition of the system. This paper discusses the development of one such technique for the estimation of creep forces of the wheel-rail contact. Real time knowledge of which could be used to predict wear of the wheel tread and rail head, predict the formation of rolling contact fatigue, and identify any areas of low adhesion present on the network. The paper covers development of a full vehicle nonlinear contact mechanics model, development of the Kalman-Bucy filter estimation technique and how the technique will be developed and validated in the future.
Description: This paper was presented at the 18th World Congress of the International Federation of Automatic Control (IFAC), 28 August - 2 September 2011, Milan: http://www.ifac2011.org/ It is also available at http://www.ifac-papersonline.net/ [© International Federation of Automatic Control]
Version: Published
DOI: 10.3182/20110828-6-IT-1002.02904
URI: https://dspace.lboro.ac.uk/2134/8773
Publisher Link: http://dx.doi.org/10.3182/20110828-6-IT-1002.02904
ISBN: 9783902661937
Appears in Collections:Conference Papers and Presentations (Mechanical, Electrical and Manufacturing Engineering)

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