Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/8866

TitleYarn hairness parameterization using a coherent signal processing technique
Author(s)Carvalho, Vítor
Cardoso, Paulo
Belsley, M.
Vasconcelos, Rosa
Soares, Filomena
KeywordsYarn hairness
Optical analysis
Signal processing
yarn hairiness
Issue dateMar-2008
PublisherElsevier
JournalSensors and Actuators A: Physical
Citation"Sensors and Actuators A : physical." ISSN 0924-4247. 142:1 (Mar. 2008) 217-224.
Abstract(s)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.
TypeArticle
URIhttp://hdl.handle.net/1822/8866
DOI10.1016/j.sna.2007.02.019
ISSN0924-4247
Publisher versionwww.elsevier.com/locate/sna
Peer-Reviewedyes
AccessOpen access
Appears in Collections:DET/2C2T - Artigos em revistas internacionais com arbitragem científica

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