Automatic qualitative trend simulation method for diagnosing faults in industrial processes

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...

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Detalles Bibliográficos
Autores principales:	Maestri, M., Ziella, D., Cassanello, M., Horowitz, G.
Formato:	JOUR
Materias:	Confluences Fault diagnosis Qualitative simulation Chemical engineering Failure analysis Industrial processs Qualitative equations Quantitative modeling Spurious solutions Steady-state measurements Trend simulation Computer applications
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_00981354_v64_n_p55_Maestri
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	todo:paper_00981354_v64_n_p55_Maestri
record_format	dspace
spelling	todo:paper_00981354_v64_n_p55_Maestri2023-10-03T14:56:56Z Automatic qualitative trend simulation method for diagnosing faults in industrial processes Maestri, M. Ziella, D. Cassanello, M. Horowitz, G. Confluences Fault diagnosis Qualitative simulation Chemical engineering Failure analysis Confluences Industrial processs Qualitative equations Qualitative simulation Quantitative modeling Spurious solutions Steady-state measurements Trend simulation Computer applications 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. © 2014 Elsevier Ltd. Fil:Maestri, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Cassanello, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Horowitz, G. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_00981354_v64_n_p55_Maestri
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Confluences Fault diagnosis Qualitative simulation Chemical engineering Failure analysis Confluences Industrial processs Qualitative equations Qualitative simulation Quantitative modeling Spurious solutions Steady-state measurements Trend simulation Computer applications
spellingShingle	Confluences Fault diagnosis Qualitative simulation Chemical engineering Failure analysis Confluences Industrial processs Qualitative equations Qualitative simulation Quantitative modeling Spurious solutions Steady-state measurements Trend simulation Computer applications Maestri, M. Ziella, D. Cassanello, M. Horowitz, G. Automatic qualitative trend simulation method for diagnosing faults in industrial processes
topic_facet	Confluences Fault diagnosis Qualitative simulation Chemical engineering Failure analysis Confluences Industrial processs Qualitative equations Qualitative simulation Quantitative modeling Spurious solutions Steady-state measurements Trend simulation Computer applications
description	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. © 2014 Elsevier Ltd.
format	JOUR
author	Maestri, M. Ziella, D. Cassanello, M. Horowitz, G.
author_facet	Maestri, M. Ziella, D. Cassanello, M. Horowitz, G.
author_sort	Maestri, M.
title	Automatic qualitative trend simulation method for diagnosing faults in industrial processes
title_short	Automatic qualitative trend simulation method for diagnosing faults in industrial processes
title_full	Automatic qualitative trend simulation method for diagnosing faults in industrial processes
title_fullStr	Automatic qualitative trend simulation method for diagnosing faults in industrial processes
title_full_unstemmed	Automatic qualitative trend simulation method for diagnosing faults in industrial processes
title_sort	automatic qualitative trend simulation method for diagnosing faults in industrial processes
url	http://hdl.handle.net/20.500.12110/paper_00981354_v64_n_p55_Maestri
work_keys_str_mv	AT maestrim automaticqualitativetrendsimulationmethodfordiagnosingfaultsinindustrialprocesses AT ziellad automaticqualitativetrendsimulationmethodfordiagnosingfaultsinindustrialprocesses AT cassanellom automaticqualitativetrendsimulationmethodfordiagnosingfaultsinindustrialprocesses AT horowitzg automaticqualitativetrendsimulationmethodfordiagnosingfaultsinindustrialprocesses
_version_	1782030885150785536

Automatic qualitative trend simulation method for diagnosing faults in industrial processes

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