Wind Turbine Blade Icing Prediction Based on Deep Belief Network-Reference-Cited by-同舟云学术

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Wind Turbine Blade Icing Prediction Based on Deep Belief Network

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 4th International Conference on Mechanical, Control and Computer Engineering (ICMCCE)
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Author:

Ma Junqing,Ma Lixin,Tian Xincheng

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8961322/8969078/08969449.pdf?arnumber=8969449

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Imbalanced learning for wind turbine blade icing detection via spatio-temporal attention model with a self-adaptive weight loss function;Expert Systems with Applications;2023-11

2. Wind Turbine Blade Icing Prediction Using Focal Loss Function and CNN-Attention-GRU Algorithm;Energies;2023-07-27

3. Data-driven estimation of blade icing risk in wind turbines;2023 IEEE International Conference on Prognostics and Health Management (ICPHM);2023-06-05

4. Enhancing Wind Turbine Blade Icing Prediction Accuracy with Immune Evolution Algorithm;2023 International Conference on Smart Electrical Grid and Renewable Energy (SEGRE);2023-06

5. Review of Data-Driven Approaches for Wind Turbine Blade Icing Detection;Sustainability;2023-01-13

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