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Multi-resolution screening of paper formation variations on production line
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligenta system (IS-lab).
Department of Applied Electronics, Kaunas University of Technology, LT-51368 Kaunas, Lithuania.ORCID-id: 0000-0003-2185-8973
Högskolan i Halmstad, Sektionen för Informationsvetenskap, Data– och Elektroteknik (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligenta system (IS-lab).
2009 (Engelska)Ingår i: Expert systems with applications, ISSN 0957-4174, E-ISSN 1873-6793, Vol. 36, nr 2, part 2, s. 3144-3152Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

This paper is concerned with a technique for detecting and monitoring abnormal paper formation variations in machine direction online in various frequency regions. A paper web is illuminated by two red diode lasers and the reflected light recorded as two time series of high resolution measurements constitute the input signal to the papermaking process monitoring system. The time series are divided into blocks and each block is analyzed separately. The task is treated as kernel based novelty detection applied to a multi-resolution time series representation obtained from the band-pass filtering of the Fourier power spectrum of the time series block. The frequency content of each frequency region is characterized by a feature vector, which is transformed using the kernel canonical correlation analysis and then categorized into the inlier or outlier class by the novelty detector. The ratio of outlying data points, significantly exceeding the predetermined value, indicates abnormalities in the paper formation. The experimental investigations performed have shown good repetitiveness and stability of the paper formation abnormalities detection results. The tools developed are used for online paper formation monitoring in a paper mill.

Ort, förlag, år, upplaga, sidor
Amsterdam: Elsevier, 2009. Vol. 36, nr 2, part 2, s. 3144-3152
Nyckelord [en]
Paper production, Support vector machine, Fourier transform, Canonical correlation analysis, Novelty detection
Nationell ämneskategori
Teknik och teknologier
Identifikatorer
URN: urn:nbn:se:hh:diva-2176DOI: 10.1016/j.eswa.2008.01.043ISI: 000262178100057Scopus ID: 2-s2.0-56349109871Lokalt ID: 2082/2573OAI: oai:DiVA.org:hh-2176DiVA, id: diva2:239394
Tillgänglig från: 2008-12-03 Skapad: 2008-12-03 Senast uppdaterad: 2018-03-23Bibliografiskt granskad

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Ejnarsson, MarcusVerikas, AntanasNilsson, Carl Magnus

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