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Highly imbalanced fault classification of wind turbines usi..:
Chatterjee, Subhajit
;
Byun, Yung-Cheol
Engineering Applications of Artificial Intelligence. 126 (2023) - p. 107104 , 2023
Link:
https://doi.org/10.1016/j.engappai.2023.107104
RT Journal T1 <Title>Highly imbalanced fault classification of wind turbines using data resampling and hybrid ensemble method approach</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_j.engappai.2023.107104&Exemplar=1&LAN=DE A1 Chatterjee, Subhajit A1 Byun, Yung-Cheol PB Elsevier BV YR 2023 SN 0952-1976 JF Engineering Applications of Artificial Intelligence VO 126 SP 107104 LK http://dx.doi.org/https://doi.org/10.1016/j.engappai.2023.107104 DO https://doi.org/10.1016/j.engappai.2023.107104 SF ELIB - SuUB Bremen
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