Artículo
Automatic qualitative trend simulation method for diagnosing faults in industrial processes
Maestri, Mauricio Leonardo
; Ziella, Daniel Horacio
; Cassanello Fernandez, Miryam Celeste
; Horowitz, Gabriel Ignacio
Fecha de publicación:
01/2014
Editorial:
Elsevier
Revista:
Computers and Chemical Engineering
ISSN:
0098-1354
Idioma:
Inglés
Tipo de recurso:
Artículo publicado
Clasificación temática:
Resumen
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.
Palabras clave:
Qualitative Simulation
,
Fault Diagnosis
,
Confluences
,
Fault Trend Patterns
Archivos asociados
Licencia
Identificadores
Colecciones
Articulos(OCA CIUDAD UNIVERSITARIA)
Articulos de OFICINA DE COORDINACION ADMINISTRATIVA CIUDAD UNIVERSITARIA
Articulos de OFICINA DE COORDINACION ADMINISTRATIVA CIUDAD UNIVERSITARIA
Citación
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
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