Comparative Analysis of Deep Learning and Decision Tree Approaches for Predicting Aircraft Engine Remaining Useful Life
Hassina Madjour
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
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, Hanane Zermane
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
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, Djemaa Rahmouni
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
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e Mohammed Djamel Mouss
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
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19 nov 2024
INFORMAZIONI SU QUESTO ARTICOLO
Categoria dell'articolo: Research Article
Pubblicato online: 19 nov 2024
Pagine: 183 - 200
DOI: https://doi.org/10.2478/fas-2023-0012
Parole chiave
© 2023 Hassina Madjour et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Madjour, Hassina
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
Zermane, Hanane
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
Rahmouni, Djemaa
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria
Mouss, Mohammed Djamel
Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2Batna, Algeria