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This repository contains data and codes that implement common machine learning algorithms for machinery condition monitoring task.

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This repository contains codes and data to reproduce results in machinery condition monitoring. Several public datasets that are commonly used in research have been used in this study. Refer to my project page for further details.

The project page and various blog articles can be accessed from my personal website.

Readers who use the processed datasets of this page must cite the original data source as

BibTeX citation
@misc{casewesternbearingdata,
  url = {https://csegroups.case.edu/bearingdatacenter/home},
  note = {This data come from Case Western Reserve University Bearing Data Center Website}
}

For attribution, readers may cite this project as

BibTeX citation
@misc{sahoo2016datadriven,
  author = {Sahoo, Biswajit},
  title = {Data-Driven Machinery Fault Diagnosis},
  url = {https://biswajitsahoo1111.github.io/cbm_codes_open/},
  year = {2016}
}

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This repository contains data and codes that implement common machine learning algorithms for machinery condition monitoring task.

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