SAM
Self Adapting Model-based system for Process Autonomy
This program has received funding from The Research Council of Norway.
Project Manager
Frode Brakstad, SINTEF Industry
Duration
48 Months, 05/2019 - 05/2023
Web site
Funding
73 mNOK
Partners
10 partners (8 industries, 1 R&D, 1 academic)
Partners
Main Objectives
The primary objective of SAM is to optimize demanding industrial processes by developing advanced physical models and machine learning algorithms, and integrating new online sensors where real time data is currently limited or lacking.
Generic Techologies
• Sensors for demanding environment
• BCAP Platform
• Bedrock Platform
Final Exptected Outcome
Methods for optimization and control of industrial production processes will be developed, using big data analytics, new online sensors and data-based models. The innovation will lead to the development of algorithms for self-adapting models, which the end-users can potentially integrate into their existing data systems at the end of the project.
Keywords
• Self adapting models
• Data driven models
• Process digitalisation
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