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1 Ergebnisse
1
Implementation of Digital Twin-Assisted Condition Monitorin..:
, In:
2023 12th International Conference on Renewable Energy Research and Applications (ICRERA)
,
Dinh, Minh-Chau
;
Ngo, Manh-Tuan
;
Kim, Changhyun
... - p. 146-150 , 2023
Link:
https://doi.org/10.1109/ICRERA59003.2023.10269370
RT T1 <cTitle>2023 12th International Conference on Renewable Energy Research and Applications (ICRERA)</cTitle>: T1 <Title>Implementation of Digital Twin-Assisted Condition Monitoring and Fault Diagnosis for Wind Turbines</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10269370&Exemplar=1&LAN=DE A1 Dinh, Minh-Chau A1 Ngo, Manh-Tuan A1 Kim, Changhyun A1 Lee, Seok Ju A1 Yu, In-Keun A1 Park, Minwon YR 2023 SN 2572-6013 K1 Fault diagnosis K1 Condition monitoring K1 Machine learning algorithms K1 Wind energy K1 Predictive models K1 Maintenance engineering K1 Wind farms K1 digital twin K1 condition monitoring K1 fault diagnosis K1 operation & maintenance SP 146 OP 150 LK http://dx.doi.org/https://doi.org/10.1109/ICRERA59003.2023.10269370 DO https://doi.org/10.1109/ICRERA59003.2023.10269370 SF ELIB - SuUB Bremen
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