SCADA Data-Driven Spatio-Temporal Graph Convolutional Neural Network for Wind Turbine Fault Diagnosis

Jiachen Ma; Yang Fu; Tianle Cheng; Deqiang He; Hongrui Cao; Bin Yu

doi:10.1109/tim.2025.3551875

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SCADA Data-Driven Spatio-Temporal Graph Convolutional Neural Network for Wind Turbine Fault Diagnosis

Jiachen Ma Yang Fu Tianle Cheng Deqiang He Hongrui Cao Bin Yu

Year: 2025 Journal: IEEE Transactions on Instrumentation and Measurement Vol: 74 Pages: 1-10 Publisher: Institute of Electrical and Electronics Engineers

DOI: 10.1109/tim.2025.3551875

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Keywords:

SCADA Convolutional neural network Computer science Turbine Fault (geology) Graph Artificial neural network Real-time computing Wind power Artificial intelligence Engineering Electrical engineering Aerospace engineering Theoretical computer science Geology

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Advanced Computational Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Decision-Making Techniques

Physical Sciences → Computer Science → Information Systems

Machine Fault Diagnosis Techniques

Physical Sciences → Engineering → Control and Systems Engineering

SCADA Data-Driven Spatio-Temporal Graph Convolutional Neural Network for Wind Turbine Fault Diagnosis

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