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Reducing bearing defects with predictive analytics

Within STREAM-0D solution, Data-Driven Models (DDMs) represent a crucial element to predict potential product defects; CETRI’s work is dedicated to the definition of DDMs. This article describes the tests carried out on Fersa Bearings line.

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Extracting critical dimensional information from images for cross sections of extruded rubber seals

Standard Profil makes sealing profiles for automotive manufacturers all around the world and it is one of STREAM-0D end-users. In this article Cetri, that in the project leads data fusion, data sparsification and data-driven modelling, provides a glimpse of the activities carried out on Standard Profil’s production line.

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Detecting defects in brake boosters with machine learning

CETRI, that in STREAM-0D is in charge of data fusion, data sparsification and data-driven models, works closely with end-users to reduce the variability in the context of product performance so to better meet the requirements for suppliers.

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