Number of the records: 1  

Advanced Soft Sensor Technology to be Used for Cold Rolling Mills

  1. 1.
    SYSNO ASEP0363838
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleAdvanced Soft Sensor Technology to be Used for Cold Rolling Mills
    Author(s) Ettler, P. (CZ)
    Dedecius, Kamil (UTIA-B) RID, ORCID
    Juričič, D. (SI)
    Preglej, A. (SI)
    Number of authors4
    Source TitleProceedings of the 16th IEEE International Conference on Emerging Technologies and Factory Automation. - Toulouse : IEEE, 2011 - ISBN 978-1-4577-0016-3
    Pagess. 1-4
    Number of pages4 s.
    Publication formcd-rom - cd-rom
    Action16th IEEE International Conference on Emerging Technologies and Factory Automation ETFA'2011
    Event date05.09.2011-09.09.2011
    VEvent locationToulouse
    CountryFR - France
    Event typeWRD
    Languageeng - English
    CountryFR - France
    Keywordssoft sensor ; rolling mill
    Subject RIVIN - Informatics, Computer Science
    R&D Projects7D09008 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    AnnotationThe use of data-driven soft sensors instead of expensive or even non-existent hardware sensors has become increasingly popular in the last two decades. Among others, they allow to reliably substitute the direct measurements with their predictions based on several related measured variables. The reason for such an indirect solution lies mostly in the absence or technical unsuitability of a reliable direct measurement of the variable of interest. This is the case of the real value of the rolling gap which substantially influences strip thickness when processed on a cold rolling mill. Although several successful approaches are being widely used for the thickness control, complementary solutions are sought permanently to improve control quality in anomalous situations and to further reduce off-tolerance parts of the rolled strip.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2012
Number of the records: 1  

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