PV plant digital mapping for modules’ defects detection by unmanned aerial vehicles (Englisch)
Freier Zugriff
- Neue Suche nach: Grimaccia, Francesco
- Neue Suche nach: Leva, Sonia
- Neue Suche nach: Niccolai, Alessandro
- Neue Suche nach: Grimaccia, Francesco
- Neue Suche nach: Leva, Sonia
- Neue Suche nach: Niccolai, Alessandro
In:
IET Renewable Power Generation
;
11
, 10
;
1221-1228
;
2017
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:PV plant digital mapping for modules’ defects detection by unmanned aerial vehicles
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Beteiligte:
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Erschienen in:IET Renewable Power Generation ; 11, 10 ; 1221-1228
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:30.05.2017
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Format / Umfang:8 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:unmanned aerial vehicles , power generation reliability , power system measurement , power generation faults , modules defect detection , renewable energy sources , image post-processing tool , power plants , autonomous aerial vehicles , plant monitoring , electrical maintenance , energy yield , maintenance operators , system failures , solar cells , light UAV , fast fault detection , PV plant digital mapping , automatic optical inspection , fault diagnosis , photovoltaic power systems , photovoltaic defects detection , automatic system , remote aerial images , PV systems , image processing , PV defects detection
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
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