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Bearing faults in the wind turbine drivetrain: Comparative study of monitoring with FFT and the Discrete Wavelet Transform
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.
Luleå University of Technology, Department of Engineering Sciences and Mathematics, Machine Elements.ORCID iD: 0000-0002-8533-897X
2017 (English)Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
2017.
National Category
Tribology (Interacting Surfaces including Friction, Lubrication and Wear)
Research subject
Machine Elements
Identifiers
URN: urn:nbn:se:ltu:diva-66856OAI: oai:DiVA.org:ltu-66856DiVA: diva2:1161659
Conference
6th World tribology congress, Beijing, China, September 17-22, 2017
Available from: 2017-11-30 Created: 2017-11-30 Last updated: 2017-12-04

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Strömbergsson, DanielMarklund, PärBerglund, Kim
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Tribology (Interacting Surfaces including Friction, Lubrication and Wear)

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