Artículo
How to improve the model partitioning in a DSS for instrumentation design
Domancich, Alejandro Omar
; Durante, Marcelo; Ferraro, Sebastián José
; Hoch, Patricia Monica
; Brignole, Nélida Beatriz
; Ponzoni, Ignacio
Fecha de publicación:
12/2009
Editorial:
American Chemical Society
Revista:
Industrial & Engineering Chemical Research
ISSN:
0888-5885
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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 towards 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.
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Articulos(PLAPIQUI)
Articulos de PLANTA PILOTO DE INGENIERIA QUIMICA (I)
Articulos de PLANTA PILOTO DE INGENIERIA QUIMICA (I)
Citación
Domancich, Alejandro Omar; Durante, Marcelo; Ferraro, Sebastián José; Hoch, Patricia Monica; Brignole, Nélida Beatriz; et al.; How to improve the model partitioning in a DSS for instrumentation design; American Chemical Society; Industrial & Engineering Chemical Research; 48; 12-2009; 3513-3525
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