Change search
ReferencesLink to record
Permanent link

Direct link
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.
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.
Research report / Luleå University of Technology, ISSN 1402-1528
Research subject
Operation and Maintenance
URN: urn:nbn:se:ltu:diva-22617Local ID: 3879caad-0015-4160-9ddb-5057bf259406ISBN: 978-91-7439-600-3ISBN: 978-91-7439-601-0 (PDF)OAI: diva2:995666
Godkänd; 2013; 20130408 (linjan)Available from: 2016-09-29 Created: 2016-09-29Bibliographically approved

Open Access in DiVA

fulltext(3952 kB)0 downloads
File information
File name FULLTEXT01.pdfFile size 3952 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Lin, Jing
By organisation
Operation, Maintenance and Acoustics

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

ReferencesLink to record
Permanent link

Direct link