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

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

Fatigue of Aircraft Structures
Volume 2023 (2023): Issue 15 (December 2023)
By: Hassina Madjour,  Hanane Zermane,  Djemaa Rahmouni and  Mohammed Djamel Mouss  
Open Access
|Nov 2024

Authors

Hassina Madjour

Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2, Batna, Algeria

Hanane Zermane

h.zermane@univ-batna2.dz

Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2, Batna, Algeria

Djemaa Rahmouni

Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2, Batna, Algeria

Mohammed Djamel Mouss

Laboratory of Automation and Manufacturing, Department of Industrial Engineering, University of Batna 2, Batna, Algeria
DOI: https://doi.org/10.2478/fas-2023-0012 | Journal eISSN: 2300-7591 | Journal ISSN: 2081-7738
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Language: English
Page range: 183 - 200
Published on: Nov 19, 2024
Published by: ŁUKASIEWICZ RESEARCH NETWORK – INSTITUTE OF AVIATION
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Remaining Useful Life,
Deep Learning,
Convolution Neural Networks,
Predictive Maintenance,
Prognostics and Health Management
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2024 Hassina Madjour, Hanane Zermane, Djemaa Rahmouni, Mohammed Djamel Mouss, published by ŁUKASIEWICZ RESEARCH NETWORK – INSTITUTE OF AVIATION
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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