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PRONOSTIA-FEMTO dataset: Preparation & application examples

version 1.0.4 (506 KB) by BERGHOUT Tarek
This preparation is intended for those not skilled in "signal processing ".


Updated 04 Oct 2021

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

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