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
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Online Access:https://hdl.handle.net/2134/35041
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id rr-article-9574292
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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_ 1756241225700081664