A fuzzy inference system for identification of crossflow filtration processes

Detalhes bibliográficos
Autor(a) principal: da Silva, I. N.
Data de Publicação: 2001
Outros Autores: Razuk, P. C., Flauzino, R. A.
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/FUZZ.2001.1008953
http://hdl.handle.net/11449/32601
Resumo: The crossflow filtration process differs of the conventional filtration by presenting the circulation flow tangentially to the filtration surface. The conventional mathematical models used to represent the process have some limitations in relation to the identification and generalization of the system behavior. In this paper, a system based on fuzzy logic systems is developed to overcome the problems usually found in the conventional mathematical models. Imprecisions and uncertainties associated with the measurements made on the system are automatically incorporated in the fuzzy approach. Simulation results are presented to justify the validity of the proposed approach.
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spelling A fuzzy inference system for identification of crossflow filtration processesThe crossflow filtration process differs of the conventional filtration by presenting the circulation flow tangentially to the filtration surface. The conventional mathematical models used to represent the process have some limitations in relation to the identification and generalization of the system behavior. In this paper, a system based on fuzzy logic systems is developed to overcome the problems usually found in the conventional mathematical models. Imprecisions and uncertainties associated with the measurements made on the system are automatically incorporated in the fuzzy approach. Simulation results are presented to justify the validity of the proposed approach.State Univ São Paulo, Dept Elect Engn, BR-17033360 São Paulo, BrazilState Univ São Paulo, Dept Elect Engn, BR-17033360 São Paulo, BrazilIEEEUniversidade Estadual Paulista (Unesp)da Silva, I. N.Razuk, P. C.Flauzino, R. A.2014-05-20T15:21:28Z2014-05-20T15:21:28Z2001-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject1527-1530http://dx.doi.org/10.1109/FUZZ.2001.100895310th IEEE International Conference on Fuzzy Systems, Vols 1-3. New York: IEEE, p. 1527-1530, 2001.http://hdl.handle.net/11449/3260110.1109/FUZZ.2001.1008953WOS:000178178300378Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng10th IEEE International Conference on Fuzzy Systems, Vols 1-3info:eu-repo/semantics/openAccess2024-06-28T13:34:43Zoai:repositorio.unesp.br:11449/32601Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:22:04.917489Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A fuzzy inference system for identification of crossflow filtration processes
title A fuzzy inference system for identification of crossflow filtration processes
spellingShingle A fuzzy inference system for identification of crossflow filtration processes
da Silva, I. N.
title_short A fuzzy inference system for identification of crossflow filtration processes
title_full A fuzzy inference system for identification of crossflow filtration processes
title_fullStr A fuzzy inference system for identification of crossflow filtration processes
title_full_unstemmed A fuzzy inference system for identification of crossflow filtration processes
title_sort A fuzzy inference system for identification of crossflow filtration processes
author da Silva, I. N.
author_facet da Silva, I. N.
Razuk, P. C.
Flauzino, R. A.
author_role author
author2 Razuk, P. C.
Flauzino, R. A.
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv da Silva, I. N.
Razuk, P. C.
Flauzino, R. A.
description The crossflow filtration process differs of the conventional filtration by presenting the circulation flow tangentially to the filtration surface. The conventional mathematical models used to represent the process have some limitations in relation to the identification and generalization of the system behavior. In this paper, a system based on fuzzy logic systems is developed to overcome the problems usually found in the conventional mathematical models. Imprecisions and uncertainties associated with the measurements made on the system are automatically incorporated in the fuzzy approach. Simulation results are presented to justify the validity of the proposed approach.
publishDate 2001
dc.date.none.fl_str_mv 2001-01-01
2014-05-20T15:21:28Z
2014-05-20T15:21:28Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/FUZZ.2001.1008953
10th IEEE International Conference on Fuzzy Systems, Vols 1-3. New York: IEEE, p. 1527-1530, 2001.
http://hdl.handle.net/11449/32601
10.1109/FUZZ.2001.1008953
WOS:000178178300378
url http://dx.doi.org/10.1109/FUZZ.2001.1008953
http://hdl.handle.net/11449/32601
identifier_str_mv 10th IEEE International Conference on Fuzzy Systems, Vols 1-3. New York: IEEE, p. 1527-1530, 2001.
10.1109/FUZZ.2001.1008953
WOS:000178178300378
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10th IEEE International Conference on Fuzzy Systems, Vols 1-3
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1527-1530
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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