Optimal Safety Control System Design

Autores
Noya, Graciela Susana; Sanchez, Mabel Cristina; Bandoni, Jose Alberto
Año de publicación
2003
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper is focused on the optimal design of Safety Instrumented Systems. A combinatorial optimisation problem is formulated that involves as design variables the architecture and type of components of the three subsystems (sensors, logic solvers, final elements) and their test intervals. The life cycle cost is minimized subject to safety and spurious trip constraints. An evolutionary technique based on Genetic Algorithms is presented to solve the problem. Application results are reported for case studies.
Fil: Noya, Graciela Susana. Universidad Nacional de la Patagonia "San Juan Bosco"; 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: Bandoni, Jose Alberto. 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
INSTRUMENTACIÓN
SEGURIDAD
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:11336/138124
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/138124
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Optimal Safety Control System DesignNoya, Graciela SusanaSanchez, Mabel CristinaBandoni, Jose AlbertoINSTRUMENTACIÓNSEGURIDADhttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2This paper is focused on the optimal design of Safety Instrumented Systems. A combinatorial optimisation problem is formulated that involves as design variables the architecture and type of components of the three subsystems (sensors, logic solvers, final elements) and their test intervals. The life cycle cost is minimized subject to safety and spurious trip constraints. An evolutionary technique based on Genetic Algorithms is presented to solve the problem. Application results are reported for case studies.Fil: Noya, Graciela Susana. Universidad Nacional de la Patagonia "San Juan Bosco"; 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: Bandoni, Jose Alberto. 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; ArgentinaAssociazione Italiana di Ingegneria Chimica2003-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/138124Noya, Graciela Susana; Sanchez, Mabel Cristina; Bandoni, Jose Alberto; Optimal Safety Control System Design; Associazione Italiana di Ingegneria Chimica; Chemical Engineering; 3; 6-2003; 781-7861974-9791CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.cetjournal.it/index.php/cet/vol01-16info:eu-repo/semantics/altIdentifier/url/https://www.cetjournal.it/files/custom-pages/vol1-16/vol3.pdfinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:28:33Zoai:ri.conicet.gov.ar:11336/138124instacron: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:34982025-09-29 10:28:33.265CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Optimal Safety Control System Design
title Optimal Safety Control System Design
spellingShingle Optimal Safety Control System Design
Noya, Graciela Susana
INSTRUMENTACIÓN
SEGURIDAD
title_short Optimal Safety Control System Design
title_full Optimal Safety Control System Design
title_fullStr Optimal Safety Control System Design
title_full_unstemmed Optimal Safety Control System Design
title_sort Optimal Safety Control System Design
dc.creator.none.fl_str_mv Noya, Graciela Susana
Sanchez, Mabel Cristina
Bandoni, Jose Alberto
author Noya, Graciela Susana
author_facet Noya, Graciela Susana
Sanchez, Mabel Cristina
Bandoni, Jose Alberto
author_role author
author2 Sanchez, Mabel Cristina
Bandoni, Jose Alberto
author2_role author
author
dc.subject.none.fl_str_mv INSTRUMENTACIÓN
SEGURIDAD
topic INSTRUMENTACIÓN
SEGURIDAD
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.4
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper is focused on the optimal design of Safety Instrumented Systems. A combinatorial optimisation problem is formulated that involves as design variables the architecture and type of components of the three subsystems (sensors, logic solvers, final elements) and their test intervals. The life cycle cost is minimized subject to safety and spurious trip constraints. An evolutionary technique based on Genetic Algorithms is presented to solve the problem. Application results are reported for case studies.
Fil: Noya, Graciela Susana. Universidad Nacional de la Patagonia "San Juan Bosco"; 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: Bandoni, Jose Alberto. 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 This paper is focused on the optimal design of Safety Instrumented Systems. A combinatorial optimisation problem is formulated that involves as design variables the architecture and type of components of the three subsystems (sensors, logic solvers, final elements) and their test intervals. The life cycle cost is minimized subject to safety and spurious trip constraints. An evolutionary technique based on Genetic Algorithms is presented to solve the problem. Application results are reported for case studies.
publishDate 2003
dc.date.none.fl_str_mv 2003-06
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/11336/138124
Noya, Graciela Susana; Sanchez, Mabel Cristina; Bandoni, Jose Alberto; Optimal Safety Control System Design; Associazione Italiana di Ingegneria Chimica; Chemical Engineering; 3; 6-2003; 781-786
1974-9791
CONICET Digital
CONICET
url http://hdl.handle.net/11336/138124
identifier_str_mv Noya, Graciela Susana; Sanchez, Mabel Cristina; Bandoni, Jose Alberto; Optimal Safety Control System Design; Associazione Italiana di Ingegneria Chimica; Chemical Engineering; 3; 6-2003; 781-786
1974-9791
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.cetjournal.it/index.php/cet/vol01-16
info:eu-repo/semantics/altIdentifier/url/https://www.cetjournal.it/files/custom-pages/vol1-16/vol3.pdf
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 Associazione Italiana di Ingegneria Chimica
publisher.none.fl_str_mv Associazione Italiana di Ingegneria Chimica
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
_version_ 1844614289612079104
score 13.070432

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