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