A fuzzy inference system for identification of crossflow filtration processes
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2001 |
| Outros Autores: | , |
| 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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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/openAccess2021-10-23T21:37:48Zoai:repositorio.unesp.br:11449/32601Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T21:37:48Repositório 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 |
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openAccess |
| dc.format.none.fl_str_mv |
1527-1530 |
| dc.publisher.none.fl_str_mv |
IEEE |
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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 |
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Repositório Institucional da UNESP |
| collection |
Repositório Institucional da UNESP |
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Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
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|
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1799965657835503616 |