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...

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Detalles Bibliográficos
Autores principales: Peng, Cheng, Chen, Yufeng, Gui, Weihua, Tang, Zhaohui, Li, Changyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
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

Internet

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

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