A CNN-SA-GRU Model with Focal Loss for Fault Diagnosis of Wind Turbine Gearboxes

A CNN-SA-GRU Model with Focal Loss for Fault Diagnosis of Wind Turbine Gearboxes

Gearbox failures are a major cause of unplanned downtime and increased maintenance costs, making accurate diagnosis crucial in ensuring wind turbine reliability and cost-efficiency. However, most existing diagnostic methods fail to fully extract the spatiotemporal features in SCADA data and neglect...

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Bibliographic Details
Main Authors: Liqiang Wang, Shixian Dai, Zijian Kang, Shuang Han, Guozhen Zhang, Yongqian Liu
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Energies
Subjects:
wind turbine
CNN
Shuffle Attention
GRU
Focal Loss
fault diagnosis
Online Access:https://www.mdpi.com/1996-1073/18/14/3696
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