Statistical Modelling of Wear and Damage Trajectories of Railway Wheelsets

Antonio Ramos Andrade, Julian Stow

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper discusses the use of linear mixed models and generalized linear mixed models 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.

Original languageEnglish
Pages (from-to)2909-2923
Number of pages15
JournalQuality and Reliability Engineering International
Volume32
Issue number8
Early online date23 Mar 2016
DOIs
Publication statusPublished - Dec 2016

Fingerprint

Wheels
Trajectories
Wear of materials
Flanges
Fatigue of materials
Specifications
Damage
Trajectory
Railway
Modeling
Information criterion
Train
Model specification
Mixed model
Fatigue
Generalized linear mixed model

Cite this

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Statistical Modelling of Wear and Damage Trajectories of Railway Wheelsets. / Andrade, Antonio Ramos; Stow, Julian.

In: Quality and Reliability Engineering International, Vol. 32, No. 8, 12.2016, p. 2909-2923.

Research output: Contribution to journalArticle

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