Yarn periodical errors determination using three signal processing approaches

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• 作者：V¨ªtor Carvalho ; Michael Belsley ; Rosa M. Vasconcelos ; Filomena O. Soares
• 关键词：Yarn periodical errors ; Yarn irregularities ; Yarn hairiness ; Walsh&ndash ; Hadamard ; Impulse frequency determination
• 刊名：Digital Signal Processing
• 出版年：2013
• 出版时间：September, 2013
• 年：2013
• 卷：23
• 期：5
• 页码：1427-1440
• 全文大小：3265 K

文摘

This paper presents a study undertaken to identify the type and location of yarn periodical errors using three different signal processing approaches based on FFT - Fast Fourier Transform, FWHT - Fast Walsh-Hadamard Transform and FDFI - Fast Impulse Frequency Determination. Available commercial equipment is based exclusively on an FFT approach which is unable to clearly detect all types of periodical yarn errors, particularly impulse errors. The theoretical basis of each the three signal processing techniques is described. Their performance when applied to several simulated errors, namely, pulse errors and impulse errors is analyzed in detail. Finally, the three different techniques? ability to successfully characterize errors in actual data taken from real textile yarns with known sinusoidal errors is explored and commented upon.