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Remaining useful life prognosis of turbofan engines based on deep feature extraction and fusion
In turbofan engine datasets, to address problems, such as noise interference, diverse data types, large data volumes, complex feature extraction, inability to effectively describe degradation trends, and poor remaining useful life (RUL) prognosis effects, a remaining useful life prognosis model comb...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9021315/ https://www.ncbi.nlm.nih.gov/pubmed/35444248 http://dx.doi.org/10.1038/s41598-022-10191-2 |