Data-Driven Remaining Useful Life (RUL) Prediction
Aim of this project is to produce reproducible results in condition monitoring. In this project, we will tackle the problem of Data-Driven Remaining Useful Life (RUL) prediction. We will apply some of the standard machine learning techniques to publicly available datasets and show the results with code. This is an ongoing project and will evolve over time. Refer to the project page for further details.
My other projects and blog articles can be accessed from my personal website.
For attribution, cite this project as
@misc{Sahoo_Data-Driven_Remaining_Useful_2020,
author = {Sahoo, Biswajit},
doi = {10.5281/zenodo.5890595},
month = {9},
title = {Data-Driven Remaining Useful Life (RUL) Prediction},
url = {https://biswajitsahoo1111.github.io/rul_codes_open/},
year = {2020}
}
Readers should cite original datasets separately.