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Anomaly Detection and Performance Analysis in Wind Turbines through Neural Networks
Mazidi, Peyman
KTH, School of Electrical Engineering (EES), Electric Power and Energy Systems.
ORCID iD:
0000-0002-0396-3326
Bertling Tjernberg, Lina
KTH, School of Electrical Engineering (EES), Electromagnetic Engineering.
ORCID iD:
0000-0003-4763-9429
Sanz-Bobi, Miguel A.
Comillas Pontifical University.
2015 (English)
Conference paper, Oral presentation only (Other academic)
Place, publisher, year, edition, pages
College Park, Maryland, USA, 2015.
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Electrical Engineering; Energy Technology
Identifiers
URN:
urn:nbn:se:kth:diva-191114
OAI: oai:DiVA.org:kth-191114
DiVA, id:
diva2:954863
Conference
International Workshop on Life-Cycle Costing of Offshore Wind Turbines and Farms
Note
QC 20160923
Available from:
2016-08-23
Created:
2016-08-23
Last updated:
2024-03-18
Open Access in DiVA
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d17f3cc7b8b9b78a967845ba346f79b4ca22fc5015cd2d36e959ada0dae1c35349f76b5e3519817cd12bedfe029237aa1bb01f540ef8945de56d94f83fd90cff
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http://www.enme.umd.edu/ESCML/home.htm
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Mazidi, Peyman
Bertling Tjernberg, Lina
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Direct link
http://kth.diva-portal.org/smash/record.jsf?pid=diva2:954863
Cite
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apa
ieee
modern-language-association-8th-edition
vancouver
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apa
ieee
modern-language-association-8th-edition
vancouver
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de-DE
en-GB
en-US
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nn-NB
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