Yarn hairiness parameterization using a coherent signal processing technique

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• 作者：Ví ; tor Carvalho ; Paulo Cardoso ; Michael Belsley ; Rosa M. Vasconcelos ; Filomena O. Soares
• 关键词：Yarn hairiness ; Optical analysis ; Signal processing
• 刊名：Sensors and Actuators A: Physical
• 出版年：2008
• 出版时间：10 March 2008
• 年：2008
• 卷：142
• 期：1
• 页码：217-224
• 全文大小：1270 K

文摘

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.