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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/35041

Title: Real time detection of low adhesion in the wheel/rail contact
Authors: Hubbard, Peter D.
Ward, Christopher P.
Dixon, Roger
Goodall, Roger M.
Keywords: Railways
vehicle dynamics
Kalman filters
low adhesion
Issue Date: 2013
Publisher: © IMechE. Published by Sage
Citation: HUBBARD, P.D. ... et al., 2013. Real time detection of low adhesion in the wheel/rail contact. Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, 227(6), pp. 623-634.
Abstract: Condition monitoring of railway vehicles has been highlighted by the railway industry as a key enabling technology for future system development. The primary uses for this could be the improvement of maintenance procedures and/or the identification of high risk vehicle running conditions. Advanced processing of signals means these tasks could be accomplished without the use of cost prohibitive sensors. This paper presents a system for the on-board detection of low adhesion conditions during the normal operation of a railway vehicle. Two different processing methods are introduced. The first method is a modelbased approach that uses a Kalman-Bucy filter to estimate creep forces, with subsequent post processing for interpretation in to adhesion levels. The second non model-based method targets the assessment of relationships between vehicle dynamic responses to observe any behavioural differences as a result of an adhesion level change. Both methods are evaluated in specific case studies using a British Rail (BR) Mark 3 coach, inclusive of a BR BT-10 bogie, and a generic modern passenger vehicle based on a contemporary bogie design. These vehicles were chosen as typical application opportunities within the UK. The results are validated with data generated by the multi-body simulation software VAMPIRE® for realistic data inputs, representing a key scientific achievement
Description: This paper was accepted for publication in the journal Dalton Transactions and the definitive published version is available at https://doi.org/10.1177/0954409713503634
Sponsor: This work was supported in part by RSSB under the project number T959.
Version: Accepted for publication
DOI: 10.1177/0954409713503634
URI: https://dspace.lboro.ac.uk/2134/35041
Publisher Link: https://doi.org/10.1177/0954409713503634
ISSN: 0954-4097
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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