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Condition monitoring of wind turbine faults: Modeling and savings
Hansen, Henrik Hviid
Ørsted, Copenhagen, Denmark; Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.
ORCID iD:
0000-0002-6133-3015
MacDougall, Neil
Ørsted, Copenhagen, Denmark.
Jensen, Christopher Dam
Ørsted, Copenhagen, Denmark.
Kulahci, Murat
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
Nielsen, Bo Friis
Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark.
Show others and affiliations
2024 (English)
In:
Applied Mathematical Modelling, ISSN 0307-904X, E-ISSN 1872-8480, Vol. 130, p. 160-174
Article in journal (Refereed) Published
Place, publisher, year, edition, pages
Elsevier Inc. , 2024. Vol. 130, p. 160-174
National Category
Reliability and Maintenance
Research subject
Quality Technology and Logistics
Identifiers
URN:
urn:nbn:se:ltu:diva-104880
DOI:
10.1016/j.apm.2024.02.036
ISI:
001236940300001
Scopus ID:
2-s2.0-85187227267
OAI: oai:DiVA.org:ltu-104880
DiVA, id:
diva2:1846971
Note
Validerad;2024;Nivå 2;2024-04-05 (marisr)
Available from:
2024-03-26
Created:
2024-03-26
Last updated:
2024-11-20
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Kulahci, Murat
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