PRONOSTIA-FEMTO dataset: Preparation & application examples
                    Version 1.0.6 (506 ko) par  
                  BERGHOUT Tarek
                
                
                  This preparation is intended for those not skilled in "signal processing ".
                
                  
              To be able to undrstand the preparation and prediction process you have to read the following paper:
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).
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
Compatibilité avec les versions de MATLAB
              Créé avec
              R2018b
            
            
              Compatible avec toutes les versions
            
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| Version | Publié le | Notes de version | |
|---|---|---|---|
| 1.0.6 | Update in references | ||
| 1.0.5 | ref for a systematic guide for RUL is added to description. | ||
| 1.0.4 | html example | ||
| 1.0.3 | html description | ||
| 1.0.2 | description updated!! | ||
| 1.0.1 | / | ||
| 1.0.0 | 
