Obiettivo Statistical process control enables to keep an industrial process under selected and controlled conditions. The traditional analyzers and statistical tools are useful generally in an univariate way. In a multivariate approach, as required for complex batch processes, they allow the monitoring but do not explain and correct eventual detected changes. The project will develop a very promising approach: on-line intelligent analyzers (spectrometers) providing good estimations of the products quality coupled with N-Way methods, allowing a decomposition of spectral data closer to the process and products knowledge. The final deliverable will consist of a methodology and software to be used at operator level to enable a product quality control and associated actions in case of detected changes. Campo scientifico natural sciencescomputer and information sciencessoftware Programma(i) FP5-GROWTH - Programme for research technological development and demonstration on "Competitive and sustainable growth 1998-2002" Argomento(i) 1.1.3.-6. - RTD Activities of a Generic Nature : Measurements and Testing Invito a presentare proposte Data not available Meccanismo di finanziamento CSC - Cost-sharing contracts Coordinatore ELF ANTAR FRANCE Contributo UE Nessun dato Indirizzo Chemin du Canal 69360 Saint-Symphorien-d'Ozon (Solaize) Francia Mostra sulla mappa Costo totale Nessun dato Partecipanti (3) Classifica in ordine alfabetico Classifica per Contributo UE Espandi tutto Riduci tutto EZUS ALPHA Francia Contributo UE Nessun dato Indirizzo Bat. CEI, Allée C, 3°étage 69616 VILLEURBANNE Mostra sulla mappa Costo totale Nessun dato THE ROYAL VETERINARY AND AGRICULTURAL UNIVERSITY Danimarca Contributo UE Nessun dato Indirizzo 13,Buelowsvej 17 1870 FREDERISKSBERG Mostra sulla mappa Costo totale Nessun dato VRIJE UNIVERSITEIT BRUSSEL Belgio Contributo UE Nessun dato Indirizzo 101,Laarbeeklaan 103 1090 BRUXELLES Mostra sulla mappa Costo totale Nessun dato
