A deep learning-based prognostic approach for predicting turbofan engine degradation and remaining useful life
Abstract Predicting the Remaining Useful Life (RUL) of turbofan engines can prevent air disasters caused by component degradation. It is an important procedure in prognostics and health management (PHM). Therefore, a deep learning-based RUL prediction approach is proposed. The CMAPSS benchmark datas...
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| Principais autores: | , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Portfolio
2025-07-01
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| Serier: | Scientific Reports |
| Fag: | |
| Online adgang: | https://doi.org/10.1038/s41598-025-09155-z |
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