Automatic assessing and monitoring of weaving density

Image restoration using the spectral approach is applied to the problem of automatic assessing of weaving density. A restored image of one set of yarns is obtained with the aid of two dimensional discrete Fourier transform. From the line profile of restored images Fisher’s test of periodicity find o...

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Bibliographic Details
Published in:Fibers and polymers 2009-12, Vol.10 (6), p.830-836
Main Authors: Tunák, Maroš, Linka, Aleš, Volf, Petr
Format: Article
Language:English
Subjects:
Chemistry
Chemistry and Materials Science
Defects
Density
Expected values
Failure
Fourier transforms
Monitoring
Polymer Sciences
Studies
Weaving
Weft
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Summary:Image restoration using the spectral approach is applied to the problem of automatic assessing of weaving density. A restored image of one set of yarns is obtained with the aid of two dimensional discrete Fourier transform. From the line profile of restored images Fisher’s test of periodicity find out the significant periodical components of specific frequency and defines model of time series. On the basis of frequency of model, the weaving density can be computed automatically. This method is then used for detection of defects associated with the change of weaving density, i.e. the weft direction defects. The detection is based on monitoring of weaving density in direction of length of fabric. Change of weaving density value against expected value indicates failure of regular structure. Control charts were used as a tool for judge the existence of failure or defects of regular structure.
ISSN:1229-9197
1875-0052
DOI:10.1007/s12221-009-0830-1