Prediction of Remaining Useful Life of Aero-engines Based on CNN-LSTM-Attention
Abstract Accurately predicting the remaining useful life (RUL) of aircraft engines is crucial for maintaining financial stability and aviation safety. To further enhance the prediction accuracy of aircraft engine RUL, a deep learning-based RUL prediction method is proposed. This method possesses the...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2024-09-01
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| Colecção: | International Journal of Computational Intelligence Systems |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1007/s44196-024-00639-w |
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