Plantwide periodical disturbances isolation and elimination in a petrochemical unit
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFRGS |
Texto Completo: | http://hdl.handle.net/10183/142315 |
Resumo: | Reducing process variability is crucial to reach a more profitable operating point. Periodical disturbances, however, impose barriers to achieve this goal. Their effect can be strong since one disturbance that appears in a specific loop of a highly coupled plant can be seen in several loops. Thus, isolating their source and diagnosing their cause are essential. In this work, we describe the application of spectral independent component analysis to isolate a periodical disturbance that has a strong impact on the final variability in a polyethylene plant located in Southern Brazil. After the first analysis, the source was detected and the cause identified: valve stiction. To identify the cause (valve, bad tuning, or periodic disturbance), we used the methodology based on higher-order statistics. Once the valve problem had been overcome, the product variance was reduced by 93%. |
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Farenzena, MarceloKayser, Cristine AlessandraTrierweiler, Jorge Otávio2016-06-08T02:09:16Z20150104-6632http://hdl.handle.net/10183/142315000992301Reducing process variability is crucial to reach a more profitable operating point. Periodical disturbances, however, impose barriers to achieve this goal. Their effect can be strong since one disturbance that appears in a specific loop of a highly coupled plant can be seen in several loops. Thus, isolating their source and diagnosing their cause are essential. In this work, we describe the application of spectral independent component analysis to isolate a periodical disturbance that has a strong impact on the final variability in a polyethylene plant located in Southern Brazil. After the first analysis, the source was detected and the cause identified: valve stiction. To identify the cause (valve, bad tuning, or periodic disturbance), we used the methodology based on higher-order statistics. Once the valve problem had been overcome, the product variance was reduced by 93%.application/pdfporBrazilian journal of chemical engineering. São Paulo, SP. Vol. 32, no. 4 (Oct./Dec. 2015), p. 919-927Diagnóstico de falhasVálvulas (Engenharia)Análise espectralFault diagnosisPlant-wide disturbanceOscillationIndependent Component AnalysisPlantwide periodical disturbances isolation and elimination in a petrochemical unitinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/otherinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSORIGINAL000992301.pdf000992301.pdfTexto completoapplication/pdf1064423http://www.lume.ufrgs.br/bitstream/10183/142315/1/000992301.pdf68a0a86cabc803a4276d90890b88c8ccMD51TEXT000992301.pdf.txt000992301.pdf.txtExtracted Texttext/plain29889http://www.lume.ufrgs.br/bitstream/10183/142315/2/000992301.pdf.txt6b274da8eb2a9dfda54011d932de55c4MD52THUMBNAIL000992301.pdf.jpg000992301.pdf.jpgGenerated Thumbnailimage/jpeg1804http://www.lume.ufrgs.br/bitstream/10183/142315/3/000992301.pdf.jpgd5c7ad9dc91767699dc04751bf5c6dbcMD5310183/1423152018-10-26 09:45:43.576oai:www.lume.ufrgs.br:10183/142315Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2018-10-26T12:45:43Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false |
dc.title.pt_BR.fl_str_mv |
Plantwide periodical disturbances isolation and elimination in a petrochemical unit |
title |
Plantwide periodical disturbances isolation and elimination in a petrochemical unit |
spellingShingle |
Plantwide periodical disturbances isolation and elimination in a petrochemical unit Farenzena, Marcelo Diagnóstico de falhas Válvulas (Engenharia) Análise espectral Fault diagnosis Plant-wide disturbance Oscillation Independent Component Analysis |
title_short |
Plantwide periodical disturbances isolation and elimination in a petrochemical unit |
title_full |
Plantwide periodical disturbances isolation and elimination in a petrochemical unit |
title_fullStr |
Plantwide periodical disturbances isolation and elimination in a petrochemical unit |
title_full_unstemmed |
Plantwide periodical disturbances isolation and elimination in a petrochemical unit |
title_sort |
Plantwide periodical disturbances isolation and elimination in a petrochemical unit |
author |
Farenzena, Marcelo |
author_facet |
Farenzena, Marcelo Kayser, Cristine Alessandra Trierweiler, Jorge Otávio |
author_role |
author |
author2 |
Kayser, Cristine Alessandra Trierweiler, Jorge Otávio |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Farenzena, Marcelo Kayser, Cristine Alessandra Trierweiler, Jorge Otávio |
dc.subject.por.fl_str_mv |
Diagnóstico de falhas Válvulas (Engenharia) Análise espectral |
topic |
Diagnóstico de falhas Válvulas (Engenharia) Análise espectral Fault diagnosis Plant-wide disturbance Oscillation Independent Component Analysis |
dc.subject.eng.fl_str_mv |
Fault diagnosis Plant-wide disturbance Oscillation Independent Component Analysis |
description |
Reducing process variability is crucial to reach a more profitable operating point. Periodical disturbances, however, impose barriers to achieve this goal. Their effect can be strong since one disturbance that appears in a specific loop of a highly coupled plant can be seen in several loops. Thus, isolating their source and diagnosing their cause are essential. In this work, we describe the application of spectral independent component analysis to isolate a periodical disturbance that has a strong impact on the final variability in a polyethylene plant located in Southern Brazil. After the first analysis, the source was detected and the cause identified: valve stiction. To identify the cause (valve, bad tuning, or periodic disturbance), we used the methodology based on higher-order statistics. Once the valve problem had been overcome, the product variance was reduced by 93%. |
publishDate |
2015 |
dc.date.issued.fl_str_mv |
2015 |
dc.date.accessioned.fl_str_mv |
2016-06-08T02:09:16Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/other |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10183/142315 |
dc.identifier.issn.pt_BR.fl_str_mv |
0104-6632 |
dc.identifier.nrb.pt_BR.fl_str_mv |
000992301 |
identifier_str_mv |
0104-6632 000992301 |
url |
http://hdl.handle.net/10183/142315 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.ispartof.pt_BR.fl_str_mv |
Brazilian journal of chemical engineering. São Paulo, SP. Vol. 32, no. 4 (Oct./Dec. 2015), p. 919-927 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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