A multi-learner neural network approach to wind turbine fault diagnosis with imbalanced data
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Renewable Energy, Sustainability and the Environment
Reference34 articles.
1. Operational state assessment of wind turbine gearbox based on long short-term memory networks and fuzzy synthesis;Zhu;Renew. Energy,2022
2. Progress and challenges on blade load research of large-scale;Dai;Renew. Energy,2022
3. Improved adversarial learning for fault feature generation of wind turbine gearbox;Guo;Renew. Energy,2022
4. Convolutional neural network fault classification based on time-series analysis for benchmark wind turbine machine;Rahimilarki;Renew. Energy,2022
5. Data annotation and feature extraction in fault detection in a wind turbine hydraulic pitch system;Korkos;Renew. Energy,2022
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