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How to improve the model partitioning in a DSS for instrumentation design / Alejandro O. Domancich in Industrial & engineering chemistry research, Vol. 48 N° 7 (Avril 2009) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 48 N° 7 (Avril 2009) . - pp. 3513–3525 Titre : How to improve the model partitioning in a DSS for instrumentation design Type de document : texte imprimé Auteurs : Alejandro O. Domancich, Auteur ; Marcelo Durante, Auteur ; Sebastián Ferraro, Auteur Année de publication : 2009 Article en page(s) : pp. 3513–3525 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Decision  Support  System  Direct  method  algorithm Résumé : In this Article, we present an extension to the observability analysis algorithm known as Direct Method (DM), which is an essential piece of a Decision Support System (DSS), whose purpose is to help engineers in the instrumentation design of industrial process plants. The main goal of this new version of DM algorithm is to improve the global performance of the DSS. The new variant, known as Extended Direct Method (EDM), incorporates a novel module that quantifies the degree of nonlinearity associated with the variables and equations of the mathematical model for the process plant. This new quantification procedure conforms a heuristic search, which guides the traditional DM toward a decomposition of the mathematical model in subsystems with the smallest possible degree of nonlinearity. The obtained results show that the EDM is able to reduce the nonlinearity of the subsystems obtained through the observability analysis procedure. At the same time, it can successfully increase the generated quantity of minimum size subsystems, thus also contributing to improve the DSS’s global performance. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie800449t [article] How to improve the model partitioning in a DSS for instrumentation design [texte imprimé] / Alejandro O. Domancich, Auteur ; Marcelo Durante, Auteur ; Sebastián Ferraro, Auteur . - 2009 . - pp. 3513–3525. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 7 (Avril 2009) . - pp. 3513–3525 Mots-clés : Decision  Support  System  Direct  method  algorithm Résumé : In this Article, we present an extension to the observability analysis algorithm known as Direct Method (DM), which is an essential piece of a Decision Support System (DSS), whose purpose is to help engineers in the instrumentation design of industrial process plants. The main goal of this new version of DM algorithm is to improve the global performance of the DSS. The new variant, known as Extended Direct Method (EDM), incorporates a novel module that quantifies the degree of nonlinearity associated with the variables and equations of the mathematical model for the process plant. This new quantification procedure conforms a heuristic search, which guides the traditional DM toward a decomposition of the mathematical model in subsystems with the smallest possible degree of nonlinearity. The obtained results show that the EDM is able to reduce the nonlinearity of the subsystems obtained through the observability analysis procedure. At the same time, it can successfully increase the generated quantity of minimum size subsystems, thus also contributing to improve the DSS’s global performance. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie800449t