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:

• Cases
• Datasets
• Books & Academic Papers

Sectors

Repository includes following industrial sectors:

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

Business problems

Lists are classified by the following common problems:

• Production process: Recommendations, process control, and safety
• Machinery and equipment: Maintenance management, Anomaly detection and process monitoring (faults/failures/deviations), RUL (remaining usefull life) and TTF (time-to-failure)
• Products: Product design, quality control, counting and tracking
• Others

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}
}