Attentive Bidirectional Long Short-Term Memory Model to Predict the Remaining Useful Life of Aircraft Engines

Accurate Remaining Useful Life (RUL) prediction for turbofan engines remains a challenging issue for the aviation industry due to operational condition variability, sensor noise, and the relatively complex degradation patterns of turbofans. To address this important research problem, we propose a ne...

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Detalles Bibliográficos

Principais autores:	Andreia Seixas Leal, Ravinesh C. Deo, Salvin S. Prasad, Luis Carlos De Castro Santos, Mumtaz Ali, Lilian Berton
Formato:	Artigo
Idioma:	Inglês
Publicado:	IEEE 2025-01-01
Series:	IEEE Access
Assuntos:	Aircraft maintenance artificial intelligence prognostics and health management remaining useful life aviation turbofan
Acceso en liña:	https://ieeexplore.ieee.org/document/11314518/
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