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Using integrated reliability analysis to optimise maintenance strategies: a Bayesian integrated reliability analysis of locomotive wheels
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-7458-6820
2013 (English)Report (Other academic)
Abstract [en]

The goal of the research presented in this report is to propose, develop and test an integrated reliability analysis to optimise the maintenance strategies of the railway industry. This integrated analysis applies traditional statistics theories as well as Bayesian statistics using Markov Chain Monte Carlo (MCMC) methodologies. Using the Bayesian inference leads to greater flexibility because such analysis can simultaneously accommodate the following: • Small sample data;• Incomplete data set, including censored or truncated data;• Complex operational environments. In this report, an integrated procedure for Bayesian reliability inference using MCMC is applied to a number of case studies using locomotive wheel degradation data from Iron Ore Line (Malmbanan), Sweden. The research explores the impact of a locomotive wheel’s installed position on its service lifetime and attempts to predict its reliability characteristics by using parametric models, non-parametric models, frailty factors, etc.

Place, publisher, year, edition, pages
Luleå tekniska universitet, 2013. , 124 p.
Series
Research report / Luleå University of Technology, ISSN 1402-1528
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-22617Local ID: 3879caad-0015-4160-9ddb-5057bf259406ISBN: 978-91-7439-600-3 (print)ISBN: 978-91-7439-601-0 (electronic)OAI: oai:DiVA.org:ltu-22617DiVA: diva2:995666
Note
Godkänd; 2013; 20130408 (linjan)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved

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CiteExportLink to record
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