Andrea Podo
A new approach for data analysis and prediction in Capping Machines field.
Rel. Giovanni Squillero. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2022
Abstract
Utilizzo di tecniche di Machine Learning e Data Science in ambito industrialePurpose of this work is to analyze the behavior of a machine that performs electronic driven capping to plastic bottles – typically used in water & soft drink market. After having understood the working principles that drive the machine, it is necessary to extract – from all the collected information – relevant data able to describe and characterize the system. These data are needed in the attempt of finding a correlation between the machine setup and its performance. The core parameter that defines this performance, intended as the quality of the production result, is the torque required to unscrew the bottle cap.
Desire of AROL S.p.A
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