Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/5772

TitleUsing multivariate statistics on detection of particular signals during production of knitwear
Author(s)Catarino, André P.
Rocha, A. M.
Monteiro, João L.
Soares, Filomena
Issue date9-Jul-2006
PublisherIEEE
CitationIEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, Québec, Canada, 2006 – “ISIE 2006 : proceedings of the IEEE International Symposium on Industrial Electronics”. [S.l.] : IEEE, 2006. ISBN 1-4244-0497-5. p. 3361-3366.
Abstract(s)This paper reports the recent developments in the pursuit to correctly locate, identify and distinguish faults during production of weft knitted fabrics. For this purpose a major textile parameter – yarn input tension (YIT) - is analyzed by means of signal processing techniques. An overview of the entire process of gathering the information and fault detection is presented. For the purpose of distinguishing faults, Multivariate statistical methods, namely cluster and discriminant analysis are used, results presented and discussed. Finally, some conclusions are drawn from the obtained results and future developments are addressed.
TypeConference paper
URIhttp://hdl.handle.net/1822/5772
ISBN9781424404964
DOI10.1109/ISIE.2006.296005
Publisher versionThe original publication is available at www.ieee.com
Peer-Reviewedyes
AccessOpen access
Appears in Collections:CAlg - Artigos em livros de atas/Papers in proceedings
DET/2C2T - Comunicações em congressos internacionais com arbitragem científica

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