Data-driven fault detection of a 10 MW floating offshore wind turbine benchmark using kernel canonical variate analysis (Englisch)
- Neue Suche nach: Wang, Xuemei
- Weitere Informationen zu Wang, Xuemei:
- https://orcid.org/0000-0001-8633-819X
- Neue Suche nach: Wu, Ping
- Weitere Informationen zu Wu, Ping:
- https://orcid.org/0000-0002-2729-9669
- Neue Suche nach: Huo, Yifei
- Neue Suche nach: Zhang, Xujie
- Neue Suche nach: Liu, Yichao
- Neue Suche nach: Wang, Lin
- Neue Suche nach: Wang, Xuemei
- Weitere Informationen zu Wang, Xuemei:
- https://orcid.org/0000-0001-8633-819X
- Neue Suche nach: Wu, Ping
- Weitere Informationen zu Wu, Ping:
- https://orcid.org/0000-0002-2729-9669
- Neue Suche nach: Huo, Yifei
- Neue Suche nach: Zhang, Xujie
- Neue Suche nach: Liu, Yichao
- Neue Suche nach: Wang, Lin
In:
Measurement Science and Technology
;
34
, 3
;
2023
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:Data-driven fault detection of a 10 MW floating offshore wind turbine benchmark using kernel canonical variate analysis
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Beteiligte:Wang, Xuemei ( Autor:in ) / Wu, Ping ( Autor:in ) / Huo, Yifei ( Autor:in ) / Zhang, Xujie ( Autor:in ) / Liu, Yichao ( Autor:in ) / Wang, Lin ( Autor:in )
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Erschienen in:
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Verlag:
- Neue Suche nach: IOP Publishing
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Erscheinungsdatum:01.03.2023
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Format / Umfang:15 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis – Band 34, Ausgabe 3
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