Advanced industrial equipment may leverage data to increase uptime, productivity and decrease defects. In industrial systems, especially in the Internet of Things scenario, many challanges arise when developing a Machine Learning-based technologies: computational resources, execution timing, interpretability and embedded implementation. Through the availability of real case study and data, this thesis aim at tackling some of the aforementioned issues.

Collaborations available:

- Sinteco Robotics https://www.sintecorobotics.com/it/it/

- Technowrapp https://technowrapp.com/

- Wärtsilä https://www.wartsila.com/