Cross-turbine fault diagnosis for wind turbines with SCADA data: A spatio-temporal graph network with multi-task learning

Xinhua Zhang; Guoqian Jiang; Wenyue Li; Die Bai; Qun He; Ping Xie

doi:10.1109/yac63405.2024.10598616

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Cross-turbine fault diagnosis for wind turbines with SCADA data: A spatio-temporal graph network with multi-task learning

Xinhua Zhang Guoqian Jiang Wenyue Li Die Bai Qun He Ping Xie

Year: 2024 Pages: 1684-1689

DOI: 10.1109/yac63405.2024.10598616

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Keywords:

SCADA Computer science Task (project management) Wind power Turbine Graph Fault (geology) Real-time computing Engineering Theoretical computer science Systems engineering Electrical engineering Aerospace engineering Geology

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Topics

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

Smart Grid and Power Systems

Physical Sciences → Engineering → Electrical and Electronic Engineering

Cross-turbine fault diagnosis for wind turbines with SCADA data: A spatio-temporal graph network with multi-task learning

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