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Methodologies for prediction of bearing wear with application in arctic railway maintenance
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.
2010 (English)In: The Seventh International Conference on Condition Monitoring and Machinery Failure Prevention Technologies: 22 - 24 June 2010, Ettington Chase, Stratford-upon-Avon, England ; CM 2010/MFPT 2010, Northampton: Coxmoor Publishing Co. , 2010, p. 528-539Conference paper, Published paper (Refereed)
Abstract [en]

A three years field test has been carried out to investigate suitable parameters for wear prediction of spherical roller bearings in railway wagon wheels. New un-destroyed greases of the same composition as in the field test were examined in laboratory conditions using 19 different test methodologies, mainly conventional ones, but also some newly developed. By correlating the results from the laboratory tests with the field test, a specification of testing methodologies for prediction of bearing wear were set up and the connection between the tested parameters were investigated. It was found that a combination of the roll stability test and the limiting shear stress coefficient enables a prediction of bearing wear. One example of another finding is that the bearing temperature could be predicted by utilization of the base oil viscosity

Place, publisher, year, edition, pages
Northampton: Coxmoor Publishing Co. , 2010. p. 528-539
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-27092Scopus ID: 84905731289Local ID: 06977f88-dfea-4707-91d7-85ef588105a2ISBN: 9781618390134 (print)OAI: oai:DiVA.org:ltu-27092DiVA, id: diva2:1000273
Conference
International Conference on Condition Monitoring and Machinery Failure Prevention Technologies : 22/06/2010 - 24/06/2010
Note
Godkänd; 2010; 20140826 (andbra)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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Lundberg, Jan

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  • apa
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