Advanced monitoring of an industrial process integrating several sources of information through a data warehouse

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/108711

Title:	Advanced monitoring of an industrial process integrating several sources of information through a data warehouse
Author:	Sanz, E; Matey, J.L.; Blesa Izquierdo, Joaquim; Puig Cayuela, Vicenç
Other authors:	Institut de Robòtica i Informàtica Industrial; Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial; Universitat Politècnica de Catalunya. SIC - Sistemes Intel·ligents de Control; Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
Abstract:	This paper presents a methodology and architecture for the advanced monitoring of an industrial process integrating several sources of information using a data warehouse (DW) that include as metadata datamart to cross technical ubications and equipments with the information given by the existing monitoring systems and the time dimension. The advanced monitoring includes functionalities that allow to diagnose faulty components and to prognose faulty situations when a problem occurs in the production process. A real car painting process is used for illustration purposes.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Informàtica::Automàtica i control -Advanced monitoring -Industry 4.0 -Predictive Maintenance -system architecture -metadata -data sources -integration -Data Meaning -Data warehouse -data preparation -time dimension -Classificació INSPEC::Automation
Rights:	Attribution-NonCommercial-NoDerivs 3.0 Spain http://creativecommons.org/licenses/by-nc-nd/3.0/es/
Document type:	Article - Submitted version Conference Object
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