PRONOSTIA-FEMTO dataset: Preparation & application examples

This preparation is intended for those not skilled in "signal processing ".
412 Downloads
Updated 2 Apr 2022

View License

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
MATLAB Release Compatibility
Created with R2018b
Compatible with any release
Platform Compatibility
Windows macOS Linux

PRONOSTIA_Mathworks

Version Published Release Notes
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