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Statistical Modelling of Wear and Damage Trajectories of Railway Wheelsets

Andrade, António Ramos and Stow, Julian (2016) Statistical Modelling of Wear and Damage Trajectories of Railway Wheelsets. Quality and Reliability Engineering International. ISSN 0748-8017 (In Press)

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Abstract

This paper discusses the use of Linear Mixed Models (LMM) and Generalized Linear Mixed Models (GLMM) to predict the wear and damage trajectories of railway wheelsets for a fleet of modern multiple unit trains. The wear trajectory is described by the evolution of the wheel flange thickness, the flange height and the tread diameter; whereas the damage trajectory is assessed through the probabilities of various types of wheel tread damage such as rolling contact fatigue, wheel flats and cavities occurring. Different model specifications are compared based on an information criterion.

Item Type: Article
Uncontrolled Keywords: Wheel degradation; Wear; Damage; Generalized Linear Mixed Model; Railways
Subjects: T Technology > TF Railroad engineering and operation
Schools: School of Computing and Engineering
School of Computing and Engineering > Institute of Railway Research
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Depositing User: Julian Stow
Date Deposited: 20 Jun 2016 15:01
Last Modified: 20 Jun 2016 15:06
URI: http://eprints.hud.ac.uk/id/eprint/28656

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