Search:
Computing and Library Services - delivering an inspiring information environment

Real Time Detection of Low Adhesion in the Wheel/Rail Contact

Hubbard, P.D., Ward, C., Dixon, R. and Goodall, Roger M. (2013) Real Time Detection of Low Adhesion in the Wheel/Rail Contact. Journal of Rail and Rapid Transport: Proceedings of the Institution of Mechanical Engineers, Part F, 227 (6). pp. 623-634. ISSN 0954-4097

Metadata only available from this repository.
Official URL: http://pif.sagepub.com/

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 model-based approach that uses a Kalman–Bucy filter to estimate creep forces, with subsequent post processing for interpretation into 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.

Item Type: Article
Subjects: T Technology > TF Railroad engineering and operation
Schools: School of Computing and Engineering
Related URLs:
Depositing User: Cherry Edmunds
Date Deposited: 03 Jun 2013 09:23
Last Modified: 20 May 2014 12:12
URI: http://eprints.hud.ac.uk/id/eprint/17681

Downloads

Downloads per month over past year

Repository Staff Only: item control page

View Item View Item

University of Huddersfield, Queensgate, Huddersfield, HD1 3DH Copyright and Disclaimer All rights reserved ©