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Condition monitoring of wind turbine faults: Modeling and savings
Ørsted, Copenhagen, Denmark; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID iD: 0000-0002-6133-3015
Ørsted, Copenhagen, Denmark.
Ørsted, Copenhagen, Denmark.
Luleå University of Technology, Department of Social Sciences, Technology and Arts, Business Administration and Industrial Engineering. Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.ORCID iD: 0000-0003-4222-9631
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2024 (English)In: Applied Mathematical Modelling, ISSN 0307-904X, E-ISSN 1872-8480, Vol. 130, p. 160-174Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier Inc. , 2024. Vol. 130, p. 160-174
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Reliability and Maintenance
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Quality Technology and Logistics
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URN: urn:nbn:se:ltu:diva-104880DOI: 10.1016/j.apm.2024.02.036Scopus ID: 2-s2.0-85187227267OAI: oai:DiVA.org:ltu-104880DiVA, id: diva2:1846971
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Validerad;2024;Nivå 2;2024-04-05 (marisr)

Available from: 2024-03-26 Created: 2024-03-26 Last updated: 2024-04-05Bibliographically approved

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Kulahci, Murat

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