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TitleTechniques for unveiling faults during knitting production
Author(s)Catarino, André P.
Rocha, A. M.
Monteiro, João L.
Soares, Filomena
Fault detection
Knitting machines
Signal processing
Pattern detection
knitting machine
Average Magnitude Cross-Difference
Issue dateMay-2004
CitationIEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE), CORSICA, FRANCE, 2004 – “ISIE 2004 : proceedings of the IEEE International Symposium on Industrial Electronics, France, 2004”. [S.l.] : IEEE, 2004. p. 389-394.
Abstract(s)Detection of faults during production of knitted fabric is crucial for improved quality and productivity. The yarn input tension is an important parameter that can be used for this purpose. This paper will present and discuss a computer-based monitoring system which was developed for the detection of faults and malfunctions during the production of weft knitted fabric, using the yarn input tension. In particular, it will present the method used to unveil the appearance of faults, based on two different approaches: comparison with a previously acquired waveform and a particular pattern matching technique - Average Magnitude Cross-Difference.
TypeConference paper
Publisher version'The original publication is available at'
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings
DEI - Artigos em atas de congressos internacionais
DET/2C2T - Comunicações em congressos internacionais com arbitragem científica

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