Real time detection of low adhesion in the wheel/rail contact

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 p...

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Main Authors:	Peter Hubbard, Christopher Ward, Roger Dixon, Roger Goodall
Format:	Default Article
Published:	2013
Subjects:	Mechanical engineering not elsewhere classified Railways vehicle dynamics Kalman filters low adhesion Mechanical Engineering not elsewhere classified Mechanical Engineering
Online Access:	https://hdl.handle.net/2134/35041
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id	rr-article-9574292
record_format	Figshare
spelling	rr-article-95742922013-01-01T00:00:00Z Real time detection of low adhesion in the wheel/rail contact Peter Hubbard (1251720) Christopher Ward (1251171) Roger Dixon (1259193) Roger Goodall (1250520) Mechanical engineering not elsewhere classified Railways vehicle dynamics Kalman filters low adhesion Mechanical Engineering not elsewhere classified Mechanical Engineering 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 2013-01-01T00:00:00Z Text Journal contribution 2134/35041 https://figshare.com/articles/journal_contribution/Real_time_detection_of_low_adhesion_in_the_wheel_rail_contact/9574292 CC BY-NC-ND 4.0
institution	Loughborough University
collection	Figshare
topic	Mechanical engineering not elsewhere classified Railways vehicle dynamics Kalman filters low adhesion Mechanical Engineering not elsewhere classified Mechanical Engineering
spellingShingle	Mechanical engineering not elsewhere classified Railways vehicle dynamics Kalman filters low adhesion Mechanical Engineering not elsewhere classified Mechanical Engineering Peter Hubbard Christopher Ward Roger Dixon Roger Goodall Real time detection of low adhesion in the wheel/rail contact
description	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
format	Default Article
author	Peter Hubbard Christopher Ward Roger Dixon Roger Goodall
author_facet	Peter Hubbard Christopher Ward Roger Dixon Roger Goodall
author_sort	Peter Hubbard (1251720)
title	Real time detection of low adhesion in the wheel/rail contact
title_short	Real time detection of low adhesion in the wheel/rail contact
title_full	Real time detection of low adhesion in the wheel/rail contact
title_fullStr	Real time detection of low adhesion in the wheel/rail contact
title_full_unstemmed	Real time detection of low adhesion in the wheel/rail contact
title_sort	real time detection of low adhesion in the wheel/rail contact
publishDate	2013
url	https://hdl.handle.net/2134/35041
_version_	1797376293784780800

Real time detection of low adhesion in the wheel/rail contact

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