PRONOSTIA-FEMTO dataset: Preparation & application examples

This preparation is intended for those not skilled in "signal processing ".
ダウンロード: 252
更新 2022/4/2

ライセンスの表示

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 リリースの互換性
作成: R2018b
すべてのリリースと互換性あり
プラットフォームの互換性
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

PRONOSTIA_Mathworks

バージョン 公開済み リリース ノート
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