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Authors:
Vítor Carvalho
Filomena Soares
Michael Belsley
Rosa Vasconcelos
Keywords: capacitive sensors; optical sensors; periodical errors; yarn mass; yarn hairiness; yarn diameter; fast walsh-hadamard; fast impulse frequency determination; fft.
Abstract:
This paper presents a study to identify the type and location of yarn periodical errors applying three different signal processing approaches based on FFT – Fast Fourier Transform, FWHT-Fast Walsh-Hadamard Transform and FDFI – Fast Impulse Frequency Determination. The errors determination is applied for the mass measurement of yarn using a capacitive sensor and for the measurement of yarn diameter/hairiness based on optical sensors. Commercial equipment uses exclusively a FFT approach which is not able to clearly detect other types of common periodical yarn errors, especially impulse errors, as well as an inferior resolution than the 1mm used in this work. The theoretical description of each signal processing technique is presented, as well as their application to several simulated errors, namely, sinusoidal, rectangular, pulse and impulse errors, showing proper results and a more complete analysis of periodical errors.
Pages: 66 to 72
Copyright: Copyright (c) IARIA, 2012
Publication date: August 19, 2012
Published in: conference
ISSN: 2308-3514
ISBN: 978-1-61208-208-0
Location: Rome, Italy
Dates: from August 19, 2012 to August 24, 2012