Short-Term Fault Prediction of Wind Turbines Based on Integrated RNN-LSTM
This paper presents a data-driven approach to short-term wind turbine fault prediction and condition monitoring based on a hybrid architecture of recurrent neural network and long short-term memory. The proposed architecture is established by utilizing time series data from the supervisory control a...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
IEEE
2024-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/10430146/ |
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