rul_codes_open

This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.

https://github.com/biswajitsahoo1111/rul_codes_open

Science Score: 57.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (6.1%) to scientific vocabulary

Keywords

cmapss data-driven-prediction deep-learning machine-learning machinery-condition-monitoring prediction prognosis remaining-useful-life rul-prediction
Last synced: 7 months ago · JSON representation ·

Repository

This repository contains code that implement common machine learning algorithms for remaining useful life (RUL) prediction.

Basic Info
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Topics
cmapss data-driven-prediction deep-learning machine-learning machinery-condition-monitoring prediction prognosis remaining-useful-life rul-prediction
Created about 6 years ago · Last pushed about 1 year ago
Metadata Files
Readme License Citation

README.md

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.

Owner

  • Name: Biswajit Sahoo
  • Login: biswajitsahoo1111
  • Kind: user
  • Location: Bengaluru, India
  • Company: HP Inc. R&D

Machine Learning Engineer at HP Inc. R&D, Bengaluru, India

Citation (CITATION.cff)

cff-version: 1.2.0
preferred-citation:
  type: generic
  authors:
  - family-names: "Sahoo"
    given-names: "Biswajit"
    orcid: "https://orcid.org/0000-0002-8278-5571"
  doi: "10.5281/zenodo.5890595"
  month: 9
  year: 2020
  title: "Data-Driven Remaining Useful Life (RUL) Prediction"
  version: 1.0.0
  url: "https://biswajitsahoo1111.github.io/rul_codes_open/"

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