Temperature Prediction and Fault Warning of High-Speed Shaft of Wind Turbine Gearbox Based on Hybrid Deep Learning Model

Gearbox failure represents one of the most time-consuming maintenance challenges in wind turbine operations. Abnormal temperature variations in the gearbox high-speed shaft (GHSS) serve as reliable indicators of potential faults. This study proposes a Spatio-Temporal Attentive (STA) synergistic arch...

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Bibliographic Details
Main Authors:	Min Zhang, Jijie Wei, Zhenli Sui, Kun Xu, Wenyong Yuan
Format:	Article
Language:	English
Published:	MDPI AG 2025-07-01
Series:	Journal of Marine Science and Engineering
Subjects:	wind turbine SCADA gearbox high-speed shaft temperature prediction fault warning hybrid deep learning model
Online Access:	https://www.mdpi.com/2077-1312/13/7/1337
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Temperature Prediction and Fault Warning of High-Speed Shaft of Wind Turbine Gearbox Based on Hybrid Deep Learning Model

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