Unsupervised anomaly detection using graph neural networks integrated with physical-statistical feature fusion and local-global learning

Author:

Feng Chenlong,Liu ChaoORCID,Jiang Dongxiang

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference44 articles.

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2. Carbon peak and carbon neutrality in China: goals, implementation path and prospects;Wang;China Geology,2021

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4. Fault diagnosis of wind turbine bearing based on variational mode decomposition and teager energy operator;Zhao;IET Renew. Power Gener.,2016

5. Anomaly detection for wind turbines based on the reconstruction of condition parameters using stacked denoising autoencoders;Jc;Renew. Energy,2020

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