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Smart Manufacturing and Predictive Maintenance driven by Machine Learning

Luca Tomaino

Smart Manufacturing and Predictive Maintenance driven by Machine Learning.

Rel. Danilo Giordano, Marco Mellia, Elena Maria Baralis. Politecnico di Torino, Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro), 2020

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Abstract:

This project focuses on the development of a data-driven methodology that aims to gain more knowledge about welding processes performed on car bodies. This methodology is fundamental to the transition from a periodic maintenance scheme to a predictive maintenance one, which would allow the optimisation of the maintenance scheme and the increase of money and energy savings and of the quality of the production. Moreover, the methodology draws inspiration from Data Mining concept, in order to better match with the technologies and techniques that are being developed in the context of industry 4.0.

Relatori: Danilo Giordano, Marco Mellia, Elena Maria Baralis
Anno accademico: 2019/20
Tipo di pubblicazione: Elettronica
Numero di pagine: 66
Soggetti:
Corso di laurea: Corso di laurea magistrale in Ict For Smart Societies (Ict Per La Società Del Futuro)
Classe di laurea: Nuovo ordinamento > Laurea magistrale > LM-27 - INGEGNERIA DELLE TELECOMUNICAZIONI
Aziende collaboratrici: Centro Ricerche Fiat S.C.p.A.
URI: http://webthesis.biblio.polito.it/id/eprint/15312
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