# rul_codes_open

**Repository Path**: wsyybt/rul_codes_open

## Basic Information

- **Project Name**: rul_codes_open
- **Description**: This repository contains codes that implement common machine learning algorithms for remaining useful life (RUL) prediction.
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-10-13
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

## [Data-Driven Remaining Useful Life (RUL) Prediction](https://biswajitsahoo1111.github.io/rul_codes_open/)

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](https://biswajitsahoo1111.github.io/rul_codes_open/) for further details.

My [other projects](https://biswajitsahoo1111.github.io/project/) and [blog articles](https://biswajitsahoo1111.github.io/categories/blog/) can be accessed from my [personal website](https://biswajitsahoo1111.github.io/).

For attribution, cite this project as
```
BibTeX citation
@misc{sahoo2018datadrivenrul,
  author = {Sahoo, Biswajit},
  title = {Data-Driven Remaining Useful Life (RUL) Prediction},
  url = {https://biswajitsahoo1111.github.io/rul_codes_open/},
  year = {2018}
}
```
Readers should cite original datasets separately.