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Statistical modeling and online monitoring based on between - set regression analysis / Chunhui Zhao in Industrial & engineering chemistry research, Vol. 51 N° 25 (Juin 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 25 (Juin 2012) . - pp. 8495-8509 Titre : Statistical modeling and online monitoring based on between - set regression analysis Type de document : texte imprimé Auteurs : Chunhui Zhao, Auteur ; Gao, Furong, Auteur ; Youxian Sun, Auteur Année de publication : 2012 Article en page(s) : pp. 8495-8509 Note générale : Industrial chemistry Langues : Anglais (eng) Mots-clés : Regression  analysis  Surveillance  Modeling Résumé : In the present work, a monitoring strategy based on between-set regression analysis is developed for the online monitoring of processes with multiple "modes". The definition of modes here differs from the conventional ones in that, the modes here may be different sets of variables collected for the same set of objects (called variable mode) or they may be process measurements collected at different times (called time mode). The subject of analysis includes two predictor data sets, corresponding to two neighboring process modes, and one matrix containing data on quality with which both predictor data sets are associated. The basic assumption is that a certain part of the underlying quality-concemed process variability stays constant despite the changeover of process modes. On the basis of between-set regression analysis, the quality-relevant systematic information in each mode space is decomposed into two parts: the between-mode common subspace and the between-mode specific subspace. The former reveals the between-mode quality-relevant similarity and the latter the dissimilarity. The two parts are then used in the development of an online monitoring system. The feasibility and performance of the proposed method are illustrated with a simple numerical case and a typical multiphase batch process. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26066777 [article] Statistical modeling and online monitoring based on between - set regression analysis [texte imprimé] / Chunhui Zhao, Auteur ; Gao, Furong, Auteur ; Youxian Sun, Auteur . - 2012 . - pp. 8495-8509. Industrial chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 25 (Juin 2012) . - pp. 8495-8509 Mots-clés : Regression  analysis  Surveillance  Modeling Résumé : In the present work, a monitoring strategy based on between-set regression analysis is developed for the online monitoring of processes with multiple "modes". The definition of modes here differs from the conventional ones in that, the modes here may be different sets of variables collected for the same set of objects (called variable mode) or they may be process measurements collected at different times (called time mode). The subject of analysis includes two predictor data sets, corresponding to two neighboring process modes, and one matrix containing data on quality with which both predictor data sets are associated. The basic assumption is that a certain part of the underlying quality-concemed process variability stays constant despite the changeover of process modes. On the basis of between-set regression analysis, the quality-relevant systematic information in each mode space is decomposed into two parts: the between-mode common subspace and the between-mode specific subspace. The former reveals the between-mode quality-relevant similarity and the latter the dissimilarity. The two parts are then used in the development of an online monitoring system. The feasibility and performance of the proposed method are illustrated with a simple numerical case and a typical multiphase batch process. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=26066777