Supervisory Control and Data Acquisition for Fault Diagnosis of Wind Turbines via Deep Transfer Learning

The installed wind power capacity is growing worldwide. Remote condition monitoring of wind turbines is employed to achieve higher up-times and lower maintenance costs. Machine learning approaches can be used for detecting developing faults in wind turbines in their earlier occurrence. However, trai...

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Veröffentlicht in:	Energies (Basel) 2023-05, Vol.16 (9)
Hauptverfasser:	Simani, Silvio, Farsoni, Saverio, Castaldi, Paolo
Format:	Artikel
Sprache:	eng
Schlagworte:	Alternative energy sources Machine learning
Online-Zugang:	Volltext
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