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In line monitoring of welding processes for train industry by means of thermographic techniques with Machine Learning

azienda Thesis in external company    


keywords ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, NDT, THERMOGRAPHY, WELDING OF ALUMINUM ALLOYS

Reference persons FRANCESCA MARIA CURA', RAFFAELLA SESANA

External reference persons Luca Santoro

Research Groups THEXOR - DIMEAS

Thesis type EXPERIMENTAL APPLIED, EXPERIMENTAL, IN COMPANY, EXPERIMENTAL, IN LAB

Description The thesis activity will be carried out partly at the ALSTOM Ferroviaria of Savigliano, partly at the Polytechnic of Turin.
The objective of the work is the development of a non-destructive control system of welds on aluminum alloys for railway carriages by means of artificial intelligence techniques applied to the innovative control by active and passive thermography.

Required skills Python
Basics of artificial intelligence


Deadline 25/07/2024      PROPONI LA TUA CANDIDATURA