| KEYWORD |
Artificial intelligence methodologies for the real-time estimation of railway adhesion
keywords ADHESION, ARTIFICIAL INTELLIGENCE, BRAKING SYSYEM, RAILWAY VEHICLES
Reference persons NICOLA BOSSO, NICOLO' ZAMPIERI
Research Groups 19- Progettazione e sperimentazione di sistemi e veicoli ferroviari ed industria
Thesis type NUMERICAL, EXPERIMENTAL
Description The thesis is in cooperation with WABTEC (Piossasco) and can be realized in the Company or with the support of the Company.
The Company provides braking systems for the railway field.
The topic of the thesis deal with the use of Artificial intelligence methodologies for the real-time estimation of railway adhesion and building of dynamic braking curves
Deadline 20/01/2024
PROPONI LA TUA CANDIDATURA