A multi-learner neural network approach to wind turbine fault diagnosis with imbalanced data
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DOI: 10.1016/j.renene.2023.03.097
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- Sun, Shilin & Li, Qi & Hu, Wenyang & Liang, Zhongchao & Wang, Tianyang & Chu, Fulei, 2023. "Wind turbine blade breakage detection based on environment-adapted contrastive learning," Renewable Energy, Elsevier, vol. 219(P2).
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Keywords
Fault diagnosis; Wind turbine; Imbalanced learning; Neural network; Artificial intelligence;All these keywords.
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