Wind Turbine Fault Diagnosis with Imbalanced SCADA Data Using Generative Adversarial Networks

Wind turbine fault diagnostics is essential for enhancing turbine performance and lowering maintenance expenses. Supervisory control and data acquisition (SCADA) systems have been extensively recognized as a feasible technology for the realization of wind turbine fault diagnosis tasks due to their c...

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Principais autores:	Hong Wang, Taikun Li, Mingyang Xie, Wenfang Tian, Wei Han
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2025-02-01
סדרה:	Energies
נושאים:	wind turbine fault diagnosis imbalanced SCADA data generative adversarial networks long short-term memory networks convolutional neural networks
גישה מקוונת:	https://www.mdpi.com/1996-1073/18/5/1158
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