Advancing aircraft engine RUL predictions: an interpretable integrated approach of feature engineering and aggregated feature importance

In this study, we present a comprehensive approach for predicting the remaining useful life (RUL) of aircraft engines, incorporating advanced feature engineering, dimensionality reduction, feature selection techniques, and machine learning models. The process begins with a rolling time series window...

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Detalles Bibliográficos
Autores principales: Alomari, Yazan, Andó, Mátyás, Baptista, Marcia L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439180/
https://www.ncbi.nlm.nih.gov/pubmed/37596297
http://dx.doi.org/10.1038/s41598-023-40315-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10439180/
https://www.ncbi.nlm.nih.gov/pubmed/37596297
http://dx.doi.org/10.1038/s41598-023-40315-1

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