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biswajitsahoo1111 / cbm_codes_open

This repository contains data and code that implement common machine learning algorithms for machinery condition monitoring task.
https://biswajitsahoo1111.github.io/cbm_codes_open/
MIT License
88 stars 33 forks source link
bearing-fault-diagnosis condition-monitoring cwru deep-learning fault-diagnosis machine-learning machinery-condition-monitoring

readme

Data-Driven Machinery Fault Diagnosis

Aim of this project is to produce reproducible results in condition monitoring. In this project, we will tackle the problem of Data-Driven Fault Diagnosis. 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_Machinery_Fault_2019,
author = {Sahoo, Biswajit},
doi = {10.5281/zenodo.5890575},
month = {4},
title = {Data-Driven Machinery Fault Diagnosis},
url = {https://biswajitsahoo1111.github.io/cbm_codes_open/},
year = {2019}
}

Readers should cite original datasets separately.