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Analysis for Locomotive Wheels’ Degradation
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-7458-6820
ReliaSoft Corporation.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2014 (English)In: 2014 proceedings - Annual Reliability and Maintainability Symposium (RAMS 2014): Colorado Springs, CO; United States, 27 - 30 January 2014, Piscataway, NJ: IEEE Communications Society, 2014, 6798521Conference paper, Published paper (Refereed)
Abstract [en]

This paper undertakes a reliability study using both classical and Bayesian semi-parametric frameworks to explore the impact of a locomotive wheel's position on its service lifetime and to predict its other reliability characteristics. The goal is to illustrate how degradation data can be modeled and analyzed by using classical and Bayesian approaches. The adopted data in the case study have been collected from the Swedish company. The results show that: 1) an exponential degradation path is a better choice for the studied locomotive wheels; 2) both classical and Bayesian semi-parametric approaches are useful tools to analysis degradation data; 3) under given operation conditions, the position of the locomotive wheel could influence its reliability

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2014. 6798521
Series
Reliability and Maintainability Symposium. Proceedings, ISSN 0149-144X
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-35254DOI: 10.1109/RAMS.2014.6798521Local ID: 9b4b81de-966d-40d4-aba6-d71a7cb98a32ISBN: 978-1-4799-2847-7 (print)OAI: oai:DiVA.org:ltu-35254DiVA: diva2:1008506
Conference
Annual Reliability and Maintainability Symposium : 27/01/2014 - 30/01/2014
Note
Godkänd; 2014; 20140108 (linjan)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-01-19Bibliographically approved

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