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dc.contributor.author
Rodriguez, Leandro P. F.
dc.contributor.author
Cedeño Viteri, Marco Vinicio
dc.contributor.author
Sanchez, Mabel Cristina
dc.date.available
2017-03-01T19:24:52Z
dc.date.issued
2013-12
dc.identifier.citation
Rodriguez, Leandro P. F.; Cedeño Viteri, Marco Vinicio; Sanchez, Mabel Cristina; A structural approach to design sensor networks for fault diagnosis; American Chemical Society; Industrial & Engineering Chemical Research; 52; 50; 12-2013; 17941-17952
dc.identifier.issn
0888-5885
dc.identifier.uri
http://hdl.handle.net/11336/13420
dc.description.abstract
Key faults significantly affect the normal operation of the process originating risk conditions. These failures should be identified even in the presence of missing measurements or outliers. In this work a new strategy to design sensor networks, which are able to resolve a set of key faults when sensors fail, is presented. The procedure deals with failure isolation using the Fault Resolution Degree concept. This is incorporated as a constraint of the minimum-cost design formulation, and the resulting optimization problem is solved using MILP codes. The strategy only uses low uncertainty data that are readily available at the process design stage. Application results of the methodology to case studies extracted from the literature are presented and compared with those provided by other existing techniques.
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
Sensor Networks Design
dc.subject
Fault Diagnosis
dc.subject
Milp
dc.subject.classification
Ingeniería de Procesos Químicos
dc.subject.classification
Ingeniería Química
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
A structural approach to design sensor networks for fault diagnosis
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-03-01T17:48:27Z
dc.journal.volume
52
dc.journal.number
50
dc.journal.pagination
17941-17952
dc.journal.pais
Estados Unidos
dc.journal.ciudad
Washington
dc.description.fil
Fil: Rodriguez, Leandro P. F.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina
dc.description.fil
Fil: Cedeño Viteri, Marco Vinicio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina
dc.description.fil
Fil: Sanchez, Mabel Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Bahía Blanca. Planta Piloto de Ingeniería Química (i); Argentina
dc.journal.title
Industrial & Engineering Chemical Research
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://pubs.acs.org/doi/abs/10.1021/ie403199z
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1021/ie403199z


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