A symbolic derivation approach for redundancy analysis

Autores
Ferraro, Sebastián José; Ponzoni, Ignacio; Sanchez, Mabel Cristina; Brignole, Nélida Beatriz
Año de publicación
2002
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Redundancy analysis is an important stage in plant instrumentation design that consists of classifying the measurements so as to determine the redundant ones. In this work, we propose a new method based on the symbolic derivation of the equations that constitute the nonlinear steady-state model of the plant under study. The strategy succeeds in overcoming the limitations of existing techniques with respect to accuracy as well as model size and complexity. The approach is nonnumeric, thus allowing independence from the operating point. No linearization is required because the method works directly on the original model equations. Another advantage is that there is no need to solve for the observable variables. The prototype was implemented in Matlab, and its performance was assessed for several academic and industrial case studies with accurate results.
Fil: Ferraro, Sebastián José. Universidad Nacional del Sur. Departamento de Matemática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ponzoni, Ignacio. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Sanchez, Mabel Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Brignole, Nélida Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Materia
Symbolic Derivation
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/37985
Acceder
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network_name_str CONICET Digital (CONICET)
spelling A symbolic derivation approach for redundancy analysisFerraro, Sebastián JoséPonzoni, IgnacioSanchez, Mabel CristinaBrignole, Nélida BeatrizSymbolic Derivationhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2Redundancy analysis is an important stage in plant instrumentation design that consists of classifying the measurements so as to determine the redundant ones. In this work, we propose a new method based on the symbolic derivation of the equations that constitute the nonlinear steady-state model of the plant under study. The strategy succeeds in overcoming the limitations of existing techniques with respect to accuracy as well as model size and complexity. The approach is nonnumeric, thus allowing independence from the operating point. No linearization is required because the method works directly on the original model equations. Another advantage is that there is no need to solve for the observable variables. The prototype was implemented in Matlab, and its performance was assessed for several academic and industrial case studies with accurate results.Fil: Ferraro, Sebastián José. Universidad Nacional del Sur. Departamento de Matemática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ponzoni, Ignacio. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Sanchez, Mabel Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaFil: Brignole, Nélida Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; ArgentinaAmerican Chemical Society2002-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/37985Ferraro, Sebastián José; Ponzoni, Ignacio; Sanchez, Mabel Cristina; Brignole, Nélida Beatriz; A symbolic derivation approach for redundancy analysis; American Chemical Society; Industrial & Engineering Chemical Research; 41; 23; 11-2002; 5692-57010888-5885CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1021/ie011046jinfo:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/abs/10.1021/ie011046jinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T10:11:31Zoai:ri.conicet.gov.ar:11336/37985instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 10:11:32.197CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A symbolic derivation approach for redundancy analysis
title A symbolic derivation approach for redundancy analysis
spellingShingle A symbolic derivation approach for redundancy analysis
Ferraro, Sebastián José
Symbolic Derivation
title_short A symbolic derivation approach for redundancy analysis
title_full A symbolic derivation approach for redundancy analysis
title_fullStr A symbolic derivation approach for redundancy analysis
title_full_unstemmed A symbolic derivation approach for redundancy analysis
title_sort A symbolic derivation approach for redundancy analysis
dc.creator.none.fl_str_mv Ferraro, Sebastián José
Ponzoni, Ignacio
Sanchez, Mabel Cristina
Brignole, Nélida Beatriz
author Ferraro, Sebastián José
author_facet Ferraro, Sebastián José
Ponzoni, Ignacio
Sanchez, Mabel Cristina
Brignole, Nélida Beatriz
author_role author
author2 Ponzoni, Ignacio
Sanchez, Mabel Cristina
Brignole, Nélida Beatriz
author2_role author
author
author
dc.subject.none.fl_str_mv Symbolic Derivation
topic Symbolic Derivation
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Redundancy analysis is an important stage in plant instrumentation design that consists of classifying the measurements so as to determine the redundant ones. In this work, we propose a new method based on the symbolic derivation of the equations that constitute the nonlinear steady-state model of the plant under study. The strategy succeeds in overcoming the limitations of existing techniques with respect to accuracy as well as model size and complexity. The approach is nonnumeric, thus allowing independence from the operating point. No linearization is required because the method works directly on the original model equations. Another advantage is that there is no need to solve for the observable variables. The prototype was implemented in Matlab, and its performance was assessed for several academic and industrial case studies with accurate results.
Fil: Ferraro, Sebastián José. Universidad Nacional del Sur. Departamento de Matemática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ponzoni, Ignacio. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Sanchez, Mabel Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
Fil: Brignole, Nélida Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
description Redundancy analysis is an important stage in plant instrumentation design that consists of classifying the measurements so as to determine the redundant ones. In this work, we propose a new method based on the symbolic derivation of the equations that constitute the nonlinear steady-state model of the plant under study. The strategy succeeds in overcoming the limitations of existing techniques with respect to accuracy as well as model size and complexity. The approach is nonnumeric, thus allowing independence from the operating point. No linearization is required because the method works directly on the original model equations. Another advantage is that there is no need to solve for the observable variables. The prototype was implemented in Matlab, and its performance was assessed for several academic and industrial case studies with accurate results.
publishDate 2002
dc.date.none.fl_str_mv 2002-11
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/37985
Ferraro, Sebastián José; Ponzoni, Ignacio; Sanchez, Mabel Cristina; Brignole, Nélida Beatriz; A symbolic derivation approach for redundancy analysis; American Chemical Society; Industrial & Engineering Chemical Research; 41; 23; 11-2002; 5692-5701
0888-5885
CONICET Digital
CONICET
url http://hdl.handle.net/11336/37985
identifier_str_mv Ferraro, Sebastián José; Ponzoni, Ignacio; Sanchez, Mabel Cristina; Brignole, Nélida Beatriz; A symbolic derivation approach for redundancy analysis; American Chemical Society; Industrial & Engineering Chemical Research; 41; 23; 11-2002; 5692-5701
0888-5885
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1021/ie011046j
info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/abs/10.1021/ie011046j
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Chemical Society
publisher.none.fl_str_mv American Chemical Society
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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