Online near-Infrared spectroscopy combined with alternating trilinear decomposition for process analysis of industrial production and quality assurance / Jingjing Liu in Industrial & engineering chemistry research, Vol. 50 N° 12 (Juin 2011)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 50 N° 12 (Juin 2011) . - pp 7677–7681 Titre : Online near-Infrared spectroscopy combined with alternating trilinear decomposition for process analysis of industrial production and quality assurance Type de document : texte imprimé Auteurs : Jingjing Liu, Auteur ; Xiang Ma, Auteur ; Yadong Wen, Auteur Année de publication : 2011 Article en page(s) : pp 7677–7681 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Spectroscopy Process Analysis Résumé : Process analysis is a great challenge in industry due to the complexity of industrial production. In the present work, an approach was developed based on online near-infrared spectroscopy and alternating trilinear decomposition (ATLD) method for industrial process analysis. The basic idea of the approach is to extract the common information that represents the common property of the batches using ATLD. Using common information, the production process can be monitored by investigating the variation of the common property, and quality assurance can be achieved by discrimination analysis. Taking the tobacco production as an example, the results show that the method is able to capture the intrinsic information of the products and performs well in process analysis and quality assurance. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie200543v [article] Online near-Infrared spectroscopy combined with alternating trilinear decomposition for process analysis of industrial production and quality assurance [texte imprimé] / Jingjing Liu, Auteur ; Xiang Ma, Auteur ; Yadong Wen, Auteur . - 2011 . - pp 7677–7681. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 12 (Juin 2011) . - pp 7677–7681 Mots-clés : Spectroscopy Process Analysis Résumé : Process analysis is a great challenge in industry due to the complexity of industrial production. In the present work, an approach was developed based on online near-infrared spectroscopy and alternating trilinear decomposition (ATLD) method for industrial process analysis. The basic idea of the approach is to extract the common information that represents the common property of the batches using ATLD. Using common information, the production process can be monitored by investigating the variation of the common property, and quality assurance can be achieved by discrimination analysis. Taking the tobacco production as an example, the results show that the method is able to capture the intrinsic information of the products and performs well in process analysis and quality assurance. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie200543v

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