Comparative Analysis of Deep Learning and Decision Tree Approaches for Predicting Aircraft Engine Remaining Useful Life

Accurate prediction of Remaining Useful Life (RUL) is crucial for Prognostics and Health Management (PHM), particularly in predictive maintenance strategies aimed at ensuring the reliability of industrial systems. This study compares two approaches for RUL prediction of aircraft engines: a deep lear...

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Principais autores:	Madjour Hassina, Zermane Hanane, Rahmouni Djemaa, Mouss Mohammed Djamel
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Sciendo 2024-11-01
coleção:	Fatigue of Aircraft Structures
Assuntos:	remaining useful life deep learning convolution neural networks predictive maintenance prognostics and health management
Acesso em linha:	https://doi.org/10.2478/fas-2023-0012
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