Leveraging the Power of the Combination of CNN and Bi-Directional LSTM Networks for Aircraft Engine RUL Estimation

Ikram Remadna; Sadek Labib Terrissa; Ryad Zemouri; Soheyb Ayad; Noureddine Zerhouni

doi:10.1109/PHM-Besancon49106.2020.00025

Conference papers

Leveraging the Power of the Combination of CNN and Bi-Directional LSTM Networks for Aircraft Engine RUL Estimation

Ikram Remadna ¹ Sadek Labib Terrissa ¹ Ryad Zemouri ² Soheyb Ayad ¹ Noureddine Zerhouni ³

1 BISKRA - Université Mohamed Khider de Biskra

2 CEDRIC - LAETITIA - CEDRIC. Traitement du signal et architectures électroniques

CEDRIC - Centre d'études et de recherche en informatique et communications

3 FEMTO-ST - Franche-Comté Électronique Mécanique, Thermique et Optique - Sciences et Technologies (UMR 6174)

Document type :

Conference papers

Domain :

Computer Science [cs] / Machine Learning [cs.LG]

Complete list of metadata

https://hal-cnam.archives-ouvertes.fr/hal-02868394
Contributor : Ryad Zemouri Connect in order to contact the contributor
Submitted on : Monday, June 15, 2020 - 1:50:21 PM
Last modification on : Wednesday, September 28, 2022 - 5:52:07 AM

Leveraging the Power of the Combination of CNN and Bi-Directional LSTM Networks for Aircraft Engine RUL Estimation

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Leveraging the Power of the Combination of CNN and Bi-Directional LSTM Networks for Aircraft Engine RUL Estimation

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