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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




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