Hajali Bayramov
Application of Artificial Intelligence for Data-Driven Prognostic of Finding Remaining Useful Life in Filters.
Rel. Danilo Giordano. Politecnico di Torino, Corso di laurea magistrale in Data Science And Engineering, 2023
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Abstract
Industry 4.0 has become an established reality thanks to recent technological developments. In this context, Reply Concept, a company where I was employed for a short time to write this thesis, is carrying out a project to build a digital twin for a chemical plant in Sicily, Italy. The main purpose is to establish a link between the production environment and digital information by creating technological models that analyze the system and connect the real and virtual worlds. The aim of the thesis work is to develop an Artificial Intelligence pipeline for the management and predictive maintenance of the chemical filters, analyzing the data collected by sensors (e.g.
mixing pumps, flow meters and pressure sensors) are analyzed
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