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Information about AI/DS/ML in Industrial Applications

An overview of cases, public datasets, books and academic papers related to applying ML in industrial applications

Repository structure

There are various useful lists:

Sectors

Repository includes following industrial sectors:

  • metallurgy
  • oil&gas
  • chemical
  • mechanical
  • energetics
  • other sectors

Business problems

Some lists are classified by the following common problems:

  • Recommendations and Optimisations
  • Anomaly detection (faults and failures)
  • RUL (remaining usefull life) and TTF (time-to-failure)
  • Product quality
  • Safety and access control
  • Other

Citation

Please cite my project in your publications if it helps your research.

Katser Iurii. (2023, July 2). AI/DS/ML in Industrial Applications. Zenodo. https://doi.org/10.5281/zenodo.8106433

Or in BibTeX format:

@misc{katser_iurii_2023_8106433,
  author       = {Katser Iurii},
  title        = {AI/DS/ML in Industrial Applications},
  month        = jul,
  year         = 2023,
  note         = {https://github.com/YKatser/Industrial-ML},
  publisher    = {Zenodo},
  version      = {v1.0},
  doi          = {10.5281/zenodo.8106433},
  url          = {https://doi.org/10.5281/zenodo.8106433}
}