Mostrar el registro sencillo del ítem

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