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A data-mining approach for wind turbine fault detection bas..:
Santolamazza A
;
Dadi D
;
Introna V
info:eu-repo/semantics/altIdentifier/wos/WOS:000638415100001. , 2021
Link:
http://hdl.handle.net/2108/278097
RT Journal T1 <Title>A data-mining approach for wind turbine fault detection based on scada data analysis using artificial neural networks</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftunivromatorver:oai:art.torvergata.it:2108_278097&Exemplar=1&LAN=DE A1 Santolamazza A A1 Dadi D A1 Introna V PB MDPI YR 2021 K1 condition monitoring K1 fault detection K1 wind turbine K1 artificial neural networks K1 predictive maintenance K1 gearbox K1 generator K1 Settore ING-IND/17 - IMPIANTI INDUSTRIALI MECCANICI JF info:eu-repo/semantics/altIdentifier/wos/WOS:000638415100001 LK http://hdl.handle.net/2108/278097 DO http://hdl.handle.net/2108/278097 SF ELIB - SuUB Bremen
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