PRONOSTIA-FEMTO dataset: Preparation & application examples

版本 1.0.6 (505.7 KB) 作者: BERGHOUT Tarek
This preparation is intended for those not skilled in "signal processing ".
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To be able to undrstand the preparation and prediction process you have to read the following paper:
https://www.researchgate.net/publication/354812459_A_Semi-supervised_Deep_Transfer_Learning_Approach_for_Rolling-Element_Bearing_Remaining_Useful_Life_Prediction
Please provide a proper citation of the above paper as:
T. Berghout, L. -H. Mouss, T. Bentrcia and M. Benbouzid, "A Semi-supervised Deep Transfer Learning Approach for Rolling-Element Bearing Remaining Useful Life Prediction," in IEEE Transactions on Energy Conversion, doi: 10.1109/TEC.2021.3116423.
Related paper : The following guide also will be very very helpful for beginners to do RUL prediction experiments (published 2022).
https://www.researchgate.net/publication/359578507_A_Systematic_Guide_for_Predicting_Remaining_Useful_Life_with_Machine_Learning/stats
Please provide a proper citation this guide as:
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
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