Yarn hairness parameterization using a coherent signal processing technique
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/8866 |
Resumo: | The aim of this paper is to present an automatic yarn hairiness parameterization method based on optical sensors. Hairiness measurements are performed using a coherent signal processing technique for higher resolution. Using this optical technique together with electronic instrumentation and custom developed software, it is possible to quantify all traditional hairiness parameters (i.e. hairiness (H), its coefficient of variation (CVH) and standard deviation (sH)) used in the textile industry, as well as determine several others, such as mean deviation coefficient (U), deviation rate (DR) and its integral (IDR). The overall goal of the current project is to develop an integrated automatic yarn system characterization: evenness analysis determination using capacitive sensors, hairiness analysis using coherent optics technique and finally, image processing for yarn production characteristics. |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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spelling |
Yarn hairness parameterization using a coherent signal processing techniqueYarn hairnessOptical analysisSignal processingyarn hairinessScience & TechnologyThe aim of this paper is to present an automatic yarn hairiness parameterization method based on optical sensors. Hairiness measurements are performed using a coherent signal processing technique for higher resolution. Using this optical technique together with electronic instrumentation and custom developed software, it is possible to quantify all traditional hairiness parameters (i.e. hairiness (H), its coefficient of variation (CVH) and standard deviation (sH)) used in the textile industry, as well as determine several others, such as mean deviation coefficient (U), deviation rate (DR) and its integral (IDR). The overall goal of the current project is to develop an integrated automatic yarn system characterization: evenness analysis determination using capacitive sensors, hairiness analysis using coherent optics technique and finally, image processing for yarn production characteristics.Fundação para a Ciência e a Tecnologia (FCT) - BD/19028/2004ElsevierUniversidade do MinhoCarvalho, VítorCardoso, PauloBelsley, M.Vasconcelos, RosaSoares, Filomena2008-032008-03-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/8866eng"Sensors and Actuators A : physical." ISSN 0924-4247. 142:1 (Mar. 2008) 217-224.0924-424710.1016/j.sna.2007.02.019www.elsevier.com/locate/snainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:28:35Zoai:repositorium.sdum.uminho.pt:1822/8866Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:23:25.514469Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Yarn hairness parameterization using a coherent signal processing technique |
title |
Yarn hairness parameterization using a coherent signal processing technique |
spellingShingle |
Yarn hairness parameterization using a coherent signal processing technique Carvalho, Vítor Yarn hairness Optical analysis Signal processing yarn hairiness Science & Technology |
title_short |
Yarn hairness parameterization using a coherent signal processing technique |
title_full |
Yarn hairness parameterization using a coherent signal processing technique |
title_fullStr |
Yarn hairness parameterization using a coherent signal processing technique |
title_full_unstemmed |
Yarn hairness parameterization using a coherent signal processing technique |
title_sort |
Yarn hairness parameterization using a coherent signal processing technique |
author |
Carvalho, Vítor |
author_facet |
Carvalho, Vítor Cardoso, Paulo Belsley, M. Vasconcelos, Rosa Soares, Filomena |
author_role |
author |
author2 |
Cardoso, Paulo Belsley, M. Vasconcelos, Rosa Soares, Filomena |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Carvalho, Vítor Cardoso, Paulo Belsley, M. Vasconcelos, Rosa Soares, Filomena |
dc.subject.por.fl_str_mv |
Yarn hairness Optical analysis Signal processing yarn hairiness Science & Technology |
topic |
Yarn hairness Optical analysis Signal processing yarn hairiness Science & Technology |
description |
The aim of this paper is to present an automatic yarn hairiness parameterization method based on optical sensors. Hairiness measurements are performed using a coherent signal processing technique for higher resolution. Using this optical technique together with electronic instrumentation and custom developed software, it is possible to quantify all traditional hairiness parameters (i.e. hairiness (H), its coefficient of variation (CVH) and standard deviation (sH)) used in the textile industry, as well as determine several others, such as mean deviation coefficient (U), deviation rate (DR) and its integral (IDR). The overall goal of the current project is to develop an integrated automatic yarn system characterization: evenness analysis determination using capacitive sensors, hairiness analysis using coherent optics technique and finally, image processing for yarn production characteristics. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-03 2008-03-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/8866 |
url |
http://hdl.handle.net/1822/8866 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
"Sensors and Actuators A : physical." ISSN 0924-4247. 142:1 (Mar. 2008) 217-224. 0924-4247 10.1016/j.sna.2007.02.019 www.elsevier.com/locate/sna |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799132709190107136 |