Analysis of Rail Failure Data for Developing Predictive Models and Estimation of Model Parameters

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Title Analysis of Rail Failure Data for Developing Predictive Models and Estimation of Model Parameters
Author Rahman, Anisur; Chattopadhyay, G.
Publication Title First World Congress on Engineering Asset Management,
Editor Joseph Mathews, Lin Ma, A Tan and Deryk Anderson
Year Published 2006
Place of publication Brisbane, Australia
Publisher Springer
Abstract Servicing strategy of a rail network is developed by understanding reliability of rails used in the rail track system. Reliability analysis of rails can be carried out by understanding the failure mechanism of rail through modelling and analysis of failure data. These failure data are time or usage dependent for certain conditions. In a probabilistic sense, rail failure is a function of its usage in terms of Million Gross Tones (MGT) for certain conditions. This paper is to analyse real life rail industry data, deal with the limitations of available data and develop predictive models for maintenance and replacement decisions. Parameters of the model are estimated using real world data with an application of non-homogeneous Poisson process.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.wceam.com/
ISBN 1-84628-583-6
Conference name First World Congress on Engineering Asset Management (WCEAM 2006)
Location Gold Coast, Queensland, Australia
Date From 2006-07-11
Date To 2006-07-14
URI http://hdl.handle.net/10072/28945
Date Accessioned 2009-12-21
Language en_AU
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Industrial Engineering
WWW reference WCEAM .com
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1x

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