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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paper:paper_00981354_v64_n_p55_Maestri2023-06-08T15:09:55Z Automatic qualitative trend simulation method for diagnosing faults in industrial processes Maestri, Mauricio Leonardo Cassanello Fernández, Miryam Celeste Horowitz, Gabriel I. 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. 2014 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00981354_v64_n_p55_Maestri 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, Mauricio Leonardo Cassanello Fernández, Miryam Celeste Horowitz, Gabriel I. 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. |
| author |
Maestri, Mauricio Leonardo Cassanello Fernández, Miryam Celeste Horowitz, Gabriel I. |
| author_facet |
Maestri, Mauricio Leonardo Cassanello Fernández, Miryam Celeste Horowitz, Gabriel I. |
| author_sort |
Maestri, Mauricio Leonardo |
| 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 |
| publishDate |
2014 |
| url |
https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00981354_v64_n_p55_Maestri http://hdl.handle.net/20.500.12110/paper_00981354_v64_n_p55_Maestri |
| work_keys_str_mv |
AT maestrimauricioleonardo automaticqualitativetrendsimulationmethodfordiagnosingfaultsinindustrialprocesses AT cassanellofernandezmiryamceleste automaticqualitativetrendsimulationmethodfordiagnosingfaultsinindustrialprocesses AT horowitzgabrieli automaticqualitativetrendsimulationmethodfordiagnosingfaultsinindustrialprocesses |
| _version_ |
1768544125875912704 |