Mostrar el registro sencillo del ítem

dc.contributor.author
Ferraro, Sebastián José
dc.contributor.author
Ponzoni, Ignacio
dc.contributor.author
Sanchez, Mabel Cristina
dc.contributor.author
Brignole, Nélida Beatriz
dc.date.available
2018-03-06T18:15:34Z
dc.date.issued
2002-11
dc.identifier.citation
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
dc.identifier.issn
0888-5885
dc.identifier.uri
http://hdl.handle.net/11336/37985
dc.description.abstract
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.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
American Chemical Society
dc.rights
info:eu-repo/semantics/restrictedAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Symbolic Derivation
dc.subject.classification
Otras Ingeniería Química
dc.subject.classification
Ingeniería Química
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
A symbolic derivation approach for redundancy analysis
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-03-06T15:12:51Z
dc.journal.volume
41
dc.journal.number
23
dc.journal.pagination
5692-5701
dc.journal.pais
Estados Unidos
dc.description.fil
Fil: Ferraro, Sebastián José. Universidad Nacional del Sur. Departamento de Matemática; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Ponzoni, Ignacio. Universidad Nacional del Sur. Departamento de Ciencias e Ingeniería de la Computación; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
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
dc.description.fil
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
dc.journal.title
Industrial & Engineering Chemical Research
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1021/ie011046j
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://pubs.acs.org/doi/abs/10.1021/ie011046j


Archivos asociados

Documento no disponible

Comunidades y colecciones

Mostrar el registro sencillo del ítem