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Real-time simulation for in-line process control

Detailed simulations alone are not sufficient to create an effective process control: in order to obtain really accurate prediction models of the production process running in real-time, ROMs must be fed also with offline real data coming from the plant.

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Sparsity and machine learning for design and optimisation

To operate in real-time, complex simulation models such the ones implemented in STREAM-0D need to cut down computational times while saving the reliability of information. This is where the notion of ‘sparsity’ comes into play.

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Fersa and STREAM-0D: optimization of industrial processes

Last 15th of November, Fersa Bearings participated, in Zaragoza, to a session dedicated to the optimization of industrial processes. A good opportunity to spread awareness around end-users’ implementation of the STREAM-0D approach.

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