Jignea, Doina (2020) Data analysis through multivariate statistical techniques: an industrial application. [Magistrali biennali]
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This Thesis describes an industrial procedure tailored to the company Unox S.p.A. for data analysis through multivariate statistical methodologies. Process variables are analysed for process understanding, data-driven design (creation of intuitive user-machine interface for improved user experience), process monitoring (anomalies detection during cooking process to ensure final product quality) and predictive maintenance (data-based equipment failure prediction for improved after-sale service).
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