New CMAPSS dataset (2021): Preparation & application example

MATLAB codes from data preparation to RUL prediction.

These codes are dedicated to the preparation of the New C-MAPSS dataset and the reconstruction of a remaining useful life (RUL) machine learning model. To understand the codes, please read the following paper carefully. Please comment and share your questions and experiences with us.

https://www.researchgate.net/publication/366425289_ProgNet_A_Transferable_Deep_Network_for_Aircraft_Engine_2_Damage_Propagation_Prognosis_under_Real_Flight_Conditions

Please provide a full citation of our paper as:

AMA Style

Berghout T, Mouss M-D, Mouss L-H, Benbouzid M. ProgNet: A Transferable Deep Network for Aircraft Engine Damage Propagation Prognosis under Real Flight Conditions. Aerospace. 2023; 10(1):10. https://doi.org/10.3390/aerospace10010010

Chicago/Turabian Style

Berghout, Tarek, Mohamed-Djamel Mouss, Leïla-Hayet Mouss, and Mohamed Benbouzid. 2023. "ProgNet: A Transferable Deep Network for Aircraft Engine Damage Propagation Prognosis under Real Flight Conditions" Aerospace 10, no. 1: 10. https://doi.org/10.3390/aerospace10010010

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Also, if you are new to RUL prediction, you might be interested in our Beginners Guide at:https://www.researchgate.net/publication/359578507_A_Systematic_Guide_for_Predicting_Remaining_Useful_Life_with_Machine_Learning

Please cite this comprehanssive paper as:

AMA Style

Berghout T, Benbouzid M. A Systematic Guide for Predicting Remaining Useful Life with Machine Learning. Electronics. 2022; 11(7):1125. https://doi.org/10.3390/electronics11071125

Chicago/Turabian Style

Berghout, Tarek, and Mohamed Benbouzid. 2022. "A Systematic Guide for Predicting Remaining Useful Life with Machine Learning" Electronics 11, no. 7: 1125. https://doi.org/10.3390/electronics11071125