Use of orthogonal transformations in data classification-reconciliation

Autores
Sanchez, Mabel Cristina; Romagnoli, Maria Jose
Año de publicación
1996
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In this paper, the use of orthogonal factorizations, more precisely the Q-R decomposition, to analyze, decompose and solve the linear and bilinear data reconciliation problem is further investigated. It is shown that the decomposition provides additional insight in identifying structural singularities in the system topology, allowing the problem to decompose into lower dimension subproblems. Energy balances are explicitly considered. Two examples of application are presented.
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: Romagnoli, Maria Jose. 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. University of Sydney; Australia
Materia
Data Reconciliation
Variable Classification
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:11336/55997
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Use of orthogonal transformations in data classification-reconciliationSanchez, Mabel CristinaRomagnoli, Maria JoseData ReconciliationVariable Classificationhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2In this paper, the use of orthogonal factorizations, more precisely the Q-R decomposition, to analyze, decompose and solve the linear and bilinear data reconciliation problem is further investigated. It is shown that the decomposition provides additional insight in identifying structural singularities in the system topology, allowing the problem to decompose into lower dimension subproblems. Energy balances are explicitly considered. Two examples of application are presented.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; ArgentinaFil: Romagnoli, Maria Jose. 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. University of Sydney; AustraliaPergamon-Elsevier Science Ltd1996-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/55997Sanchez, Mabel Cristina; Romagnoli, Maria Jose; Use of orthogonal transformations in data classification-reconciliation; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 20; 5; 5-1996; 483-4930098-1354CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/009813549500212Xinfo:eu-repo/semantics/altIdentifier/doi/10.1016/0098-1354(95)00212-Xinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:22:10Zoai:ri.conicet.gov.ar:11336/55997instacron: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:34982025-10-15 14:22:10.502CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Use of orthogonal transformations in data classification-reconciliation
title Use of orthogonal transformations in data classification-reconciliation
spellingShingle Use of orthogonal transformations in data classification-reconciliation
Sanchez, Mabel Cristina
Data Reconciliation
Variable Classification
title_short Use of orthogonal transformations in data classification-reconciliation
title_full Use of orthogonal transformations in data classification-reconciliation
title_fullStr Use of orthogonal transformations in data classification-reconciliation
title_full_unstemmed Use of orthogonal transformations in data classification-reconciliation
title_sort Use of orthogonal transformations in data classification-reconciliation
dc.creator.none.fl_str_mv Sanchez, Mabel Cristina
Romagnoli, Maria Jose
author Sanchez, Mabel Cristina
author_facet Sanchez, Mabel Cristina
Romagnoli, Maria Jose
author_role author
author2 Romagnoli, Maria Jose
author2_role author
dc.subject.none.fl_str_mv Data Reconciliation
Variable Classification
topic Data Reconciliation
Variable Classification
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In this paper, the use of orthogonal factorizations, more precisely the Q-R decomposition, to analyze, decompose and solve the linear and bilinear data reconciliation problem is further investigated. It is shown that the decomposition provides additional insight in identifying structural singularities in the system topology, allowing the problem to decompose into lower dimension subproblems. Energy balances are explicitly considered. Two examples of application are presented.
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: Romagnoli, Maria Jose. 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. University of Sydney; Australia
description In this paper, the use of orthogonal factorizations, more precisely the Q-R decomposition, to analyze, decompose and solve the linear and bilinear data reconciliation problem is further investigated. It is shown that the decomposition provides additional insight in identifying structural singularities in the system topology, allowing the problem to decompose into lower dimension subproblems. Energy balances are explicitly considered. Two examples of application are presented.
publishDate 1996
dc.date.none.fl_str_mv 1996-05
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/11336/55997
Sanchez, Mabel Cristina; Romagnoli, Maria Jose; Use of orthogonal transformations in data classification-reconciliation; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 20; 5; 5-1996; 483-493
0098-1354
CONICET Digital
CONICET
url http://hdl.handle.net/11336/55997
identifier_str_mv Sanchez, Mabel Cristina; Romagnoli, Maria Jose; Use of orthogonal transformations in data classification-reconciliation; Pergamon-Elsevier Science Ltd; Computers and Chemical Engineering; 20; 5; 5-1996; 483-493
0098-1354
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/pii/009813549500212X
info:eu-repo/semantics/altIdentifier/doi/10.1016/0098-1354(95)00212-X
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
dc.publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
publisher.none.fl_str_mv Pergamon-Elsevier Science Ltd
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 13.22299

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