Multivariable correlation analysis with low sampling rate in output and its application in an LNG plant

Detalhes bibliográficos
Autor(a) principal: Santos, R.
Data de Publicação: 2009
Outros Autores: Almeida Neto, J. F., Campos, M., Embiruçu, Marcelo, Fontes, C., Kalid, Ricardo de Araújo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFBA
Texto Completo: http://www.repositorio.ufba.br/ri/handle/ri/13279
Resumo: Texto completo: acesso restrito. p. 33-41
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spelling Santos, R.Almeida Neto, J. F.Campos, M.Embiruçu, MarceloFontes, C.Kalid, Ricardo de AraújoSantos, R.Almeida Neto, J. F.Campos, M.Embiruçu, MarceloFontes, C.Kalid, Ricardo de Araújo2013-10-16T15:03:01Z20090920-4105http://www.repositorio.ufba.br/ri/handle/ri/13279v. 66, n. 1-2Texto completo: acesso restrito. p. 33-41Multivariable correlation analysis (MVCA) is a powerful tool in the field of system identification, especially where only normal operational data with simultaneous disturbance and input variations, all with some degree of correlation, are present. This paper presents the application of a MVCA technique for the prediction of C3 concentration in the outlet stream of the deethanizer tower (outlet stream of a liquefied gas natural plant). This is a variable whose prediction and inference is of great importance in the correct control of the unit. Good results are obtained with a non parametric MISO (Multiple Input Single Output) model (impulse response) provided by the multivariable correlation technique using real data from a commercial plant. This paper also suggests a procedure to handle output data whose sampling rate is lower than input sampling.Submitted by Suelen Reis (suziy.ellen@gmail.com) on 2013-10-11T13:33:52Z No. of bitstreams: 1 1-s2.0-S0920410509000369-main.pdf: 802619 bytes, checksum: acb0cf7e64defa01e5e0e3c326afca96 (MD5)Approved for entry into archive by LIVIA FREITAS(livia.freitas@ufba.br) on 2013-10-16T15:03:01Z (GMT) No. of bitstreams: 1 1-s2.0-S0920410509000369-main.pdf: 802619 bytes, checksum: acb0cf7e64defa01e5e0e3c326afca96 (MD5)Made available in DSpace on 2013-10-16T15:03:01Z (GMT). No. of bitstreams: 1 1-s2.0-S0920410509000369-main.pdf: 802619 bytes, checksum: acb0cf7e64defa01e5e0e3c326afca96 (MD5) Previous issue date: 2009http://dx.doi.org/10.1016/j.petrol.2009.01.003reponame:Repositório Institucional da UFBAinstname:Universidade Federal da Bahia (UFBA)instacron:UFBAMultivariable analysisIdentificationLiquefied natural gas - machiningChromatographic analysisMultivariable correlation analysis with low sampling rate in output and its application in an LNG plantJournal of Petroleum Science and EngineeringArtigo de Periódicoinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersion10000-01-01enginfo:eu-repo/semantics/openAccessORIGINAL1-s2.0-S0920410509000369-main.pdf1-s2.0-S0920410509000369-main.pdfapplication/pdf802619https://repositorio.ufba.br/bitstream/ri/13279/1/1-s2.0-S0920410509000369-main.pdfacb0cf7e64defa01e5e0e3c326afca96MD51LICENSElicense.txtlicense.txttext/plain1365https://repositorio.ufba.br/bitstream/ri/13279/2/license.txt5371a150bdc863f78dcf39281543bd86MD52TEXT1-s2.0-S0920410509000369-main.pdf.txt1-s2.0-S0920410509000369-main.pdf.txtExtracted texttext/plain33406https://repositorio.ufba.br/bitstream/ri/13279/3/1-s2.0-S0920410509000369-main.pdf.txtb38882153ea5ca509f97c6c35e14a177MD53ri/132792022-08-26 11:47:07.664oai:repositorio.ufba.br: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Repositório InstitucionalPUBhttp://192.188.11.11:8080/oai/requestopendoar:19322022-08-26T14:47:07Repositório Institucional da UFBA - Universidade Federal da Bahia (UFBA)false
dc.title.pt_BR.fl_str_mv Multivariable correlation analysis with low sampling rate in output and its application in an LNG plant
dc.title.alternative.pt_BR.fl_str_mv Journal of Petroleum Science and Engineering
title Multivariable correlation analysis with low sampling rate in output and its application in an LNG plant
spellingShingle Multivariable correlation analysis with low sampling rate in output and its application in an LNG plant
Santos, R.
Multivariable analysis
Identification
Liquefied natural gas - machining
Chromatographic analysis
title_short Multivariable correlation analysis with low sampling rate in output and its application in an LNG plant
title_full Multivariable correlation analysis with low sampling rate in output and its application in an LNG plant
title_fullStr Multivariable correlation analysis with low sampling rate in output and its application in an LNG plant
title_full_unstemmed Multivariable correlation analysis with low sampling rate in output and its application in an LNG plant
title_sort Multivariable correlation analysis with low sampling rate in output and its application in an LNG plant
author Santos, R.
author_facet Santos, R.
Almeida Neto, J. F.
Campos, M.
Embiruçu, Marcelo
Fontes, C.
Kalid, Ricardo de Araújo
author_role author
author2 Almeida Neto, J. F.
Campos, M.
Embiruçu, Marcelo
Fontes, C.
Kalid, Ricardo de Araújo
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Santos, R.
Almeida Neto, J. F.
Campos, M.
Embiruçu, Marcelo
Fontes, C.
Kalid, Ricardo de Araújo
Santos, R.
Almeida Neto, J. F.
Campos, M.
Embiruçu, Marcelo
Fontes, C.
Kalid, Ricardo de Araújo
dc.subject.por.fl_str_mv Multivariable analysis
Identification
Liquefied natural gas - machining
Chromatographic analysis
topic Multivariable analysis
Identification
Liquefied natural gas - machining
Chromatographic analysis
description Texto completo: acesso restrito. p. 33-41
publishDate 2009
dc.date.issued.fl_str_mv 2009
dc.date.accessioned.fl_str_mv 2013-10-16T15:03:01Z
dc.type.driver.fl_str_mv Artigo de Periódico
info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://www.repositorio.ufba.br/ri/handle/ri/13279
dc.identifier.issn.none.fl_str_mv 0920-4105
dc.identifier.number.pt_BR.fl_str_mv v. 66, n. 1-2
identifier_str_mv 0920-4105
v. 66, n. 1-2
url http://www.repositorio.ufba.br/ri/handle/ri/13279
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.pt_BR.fl_str_mv http://dx.doi.org/10.1016/j.petrol.2009.01.003
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