HYPPOS AI/ML:
Objective:
To increase the benefits achieved through the online operation of HYPPOS, specifically via quality predictions in real-time
Challenge:
To overcome the lack of installed instrumentation we developed appropriate Machine Learning (ML) based algorithms to implement soft-sensors.
Methods:
Using the soft sensors to enhance the predictive power of solutions by identifying off-spec material in real-time without the need for specialized online analyzers (instrumentation)
- Total Budget: € 314.300
- Requested Funding: € 199.780
- Implementation Period: 01-Jun-2022 to 30-Jun-2023
- Host Organisation: Hyperion Systems Engineering
- Partner: The Cyprus Institute
- Co-funded by the European Union
The project is implemented under the programme of social cohesion “THALIA 2021-2027”
co-funded by the European Union, through Research and Innovation Foundation.
