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Project: Fault Detection in Bearings
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0003-0126-1897
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.
Grekland.
2013 (English)Other (Other (popular science, discussion, etc.))
Place, publisher, year, pages
2013.
National Category
Control Engineering
Research subject
Control Engineering
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URN: urn:nbn:se:ltu:diva-36017Local ID: 28ae1be0-aa0a-45c8-a46b-642970d66c78OAI: oai:DiVA.org:ltu-36017DiVA, id: diva2:1009274
Note

Publikationer: Bearing fault classification based on minimum volume ellipsoid feature extraction; Detecting broken rotor bars in induction motors with model-based support vector classifiers; Status: Pågående; Period: 01/09/2012 → …

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved

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Nikolakopoulos, GeorgeMustafa, Mohammed Obaid

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