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Description
Prototype of on-line prediction of surface roughness in machining by means of the diagnosis of the state of the machine tool with power sensor and roughness measurements, applying Kalman filters.
Member
Address
Escola Superior de Tecnologia i Ciències Experimentals (School of Technology and Experimental Sciences) Dpt. d'Enginyeria de Sistemes Industrials i Disseny Jaume I University Avda. Sos Baynat s/n, Castelló de la Plana
Province
Castellón
Website
Video

DEMONSTRATOR INFORMATION

DESCRIPTION

Prototype of on-line prediction of surface roughness in machining by means of the diagnosis of the state of the machine tool with power sensor and roughness measurements, applying Kalman filters.

POSSIBILITIES

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TECHNOLOGICAL ENABLER

Advanced industrial technologies
Smart manufacturing and processes

Application of fuzzy logic to process control.development of prediction algorithms for the management of production systems (Data Mining).development of algorithms for real-time prediction of the process-machine state.development of application ontologies for Smart Manufacturing contexts: modelling of manufacturing resource capacities and modelling of complex systems (CPS, etc.) based on Features.development of control systems and improvement of the geometric quality of products in Reconfigurable Manufacturing Systems.