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1 Ergebnisse
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Wind Turbine Hybrid Physics-Based Deep Learning Model for a..:
Kayedpour, Nezmin
;
Qing, Jixiang
;
Wauters, Jolan
...
IEEE Transactions on Instrumentation and Measurement. 73 (2024) - p. 1-14 , 2024
Link:
https://doi.org/10.1109/tim.2024.3375416
RT Journal T1 <Title>Wind Turbine Hybrid Physics-Based Deep Learning Model for a Health Monitoring Approach Considering Provision of Ancillary Services</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tim.2024.3375416&Exemplar=1&LAN=DE A1 Kayedpour, Nezmin A1 Qing, Jixiang A1 Wauters, Jolan A1 De Kooning, Jeroen D. M. A1 Couckuyt, Ivo A1 Crevecoeur, Guillaume PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 0018-9456 SN 1557-9662 JF IEEE Transactions on Instrumentation and Measurement VO 73 SP 1 OP 14 LK http://dx.doi.org/https://doi.org/10.1109/tim.2024.3375416 DO https://doi.org/10.1109/tim.2024.3375416 SF ELIB - SuUB Bremen
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