Anomaly Detection

End-to-end solutions in Industry 4.0

Statistical and (deep) machine learning algorithms for anomaly detection and fault forecasting

  • 1 reinforcement learning algorithm (cognitive)
  • 2 semi-supervised learning algorithms (cognitive)
  • 2 supervised learning algorithms (non-cognitive – benchmark)
  • evaluation of predictive algorithms with standard indicators
The project SIROKO was implemented in the context of the Action RESEARCH – CREATE – INNOVATE and co-financed by the European Union and national resources through the OP. Competitiveness, Entrepreneurship & Innovation (EPANEK).

The project started in June 2021 and is expected to be completed in December 2023.

Scientific co-ordinator is Dr. Dimitrios Tzovaras from CERTH/ITI.