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dc.contributor.author
Maestri, Mauricio Leonardo
dc.contributor.author
Ziella, Daniel Horacio
dc.contributor.author
Cassanello Fernandez, Miryam Celeste
dc.contributor.author
Horowitz, Gabriel Ignacio
dc.date.available
2018-01-02T21:59:04Z
dc.date.issued
2014-01
dc.identifier.citation
Horowitz, Gabriel Ignacio; Cassanello Fernandez, Miryam Celeste; Ziella, Daniel Horacio; Maestri, Mauricio Leonardo; Automatic qualitative trend simulation method for diagnosing faults in industrial processes; Elsevier; Computers and Chemical Engineering; 64; 1-2014; 55-62
dc.identifier.issn
0098-1354
dc.identifier.uri
http://hdl.handle.net/11336/32081
dc.description.abstract
This work proposes an automatic method of qualitative simulation for industrial processes to predict the steady-state measurement patterns arising from different faults. Due to their characteristics, qualitative simulations tend to generate multiple spurious solutions. The proposed method limits the number of such spurious solutions by automatically generating new qualitative equations from the generic quantitative model (i.e. without the need of knowing the value of its parameters) and using simple qualitative known relations or other readily available information. An algorithm to obtain such solutions from the set of qualitative equations is also presented.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-nd/2.5/ar/
dc.subject
Qualitative Simulation
dc.subject
Fault Diagnosis
dc.subject
Confluences
dc.subject
Fault Trend Patterns
dc.subject.classification
Otras Ingeniería Química
dc.subject.classification
Ingeniería Química
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
Automatic qualitative trend simulation method for diagnosing faults in industrial processes
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2017-12-29T14:19:35Z
dc.journal.volume
64
dc.journal.pagination
55-62
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Maestri, Mauricio Leonardo. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Industrias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Ziella, Daniel Horacio. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Cassanello Fernandez, Miryam Celeste. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Industrias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.description.fil
Fil: Horowitz, Gabriel Ignacio. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Industrias; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
dc.journal.title
Computers and Chemical Engineering
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S009813541400009X
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.compchemeng.2014.01.007
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