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Please use this identifier to cite or link to this item: https://hdl.handle.net/1889/5582
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dc.contributor.advisorVignali, Giuseppe-
dc.contributor.authorTancredi, Giovanni Paolo Carlo-
dc.date.accessioned2024-03-29T14:10:34Z-
dc.date.available2024-03-29T14:10:34Z-
dc.date.issued2024-
dc.identifier.urihttps://hdl.handle.net/1889/5582-
dc.description.abstractThis work aims to design and implement a comprehensive DT system for the food industry, focusing on process control and optimization for industrial plants not ready for Industry 4.0, enhanced with machine learning.en_US
dc.language.isoIngleseen_US
dc.publisherUniversità degli Studi di Parma. Dipartimento di Ingegneria e architetturaen_US
dc.relation.ispartofseriesDottorato di ricerca in Ingegneria Industrialeen_US
dc.rights© Giovanni Paolo Carlo Tancredi 2024en_US
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.subjectDigital Twinen_US
dc.subjectMachine Learningen_US
dc.subjectProcess Controlen_US
dc.subjectFood Industryen_US
dc.subjectAnomaly detectionen_US
dc.subjectPredictive Maintenanceen_US
dc.subjectFluid Fooden_US
dc.subjectGranulate Fooden_US
dc.titleDigital Twin-Based Control System Enhanced by Machine Learning in food processingen_US
dc.title.alternativeSistema di Controllo basato sul Digital Twin potenziato dall'Apprendimento Automatico nei processi dell'industria alimentareen_US
dc.typeDoctoral thesisen_US
dc.subject.miurING-IND/17en_US
dc.rights.licenseAttribuzione - Condividi allo stesso modo 4.0 Internazionale*
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