• DocumentCode
    1679663
  • Title

    An diagnosis method of chatter marks based on PCA

  • Author

    Zhang, Jian ; Wu, Shengxi ; Xu, Jiazhuo

  • Author_Institution
    East China Univ. of Sci. & Technol., Shanghai, China
  • fYear
    2010
  • Firstpage
    1512
  • Lastpage
    1517
  • Abstract
    Chatter mark on the surface of the cold rolled or skin passed steel strips will seriously depress the product quality. This paper deeply analysis the mechanism and data relationship of rolling plant, find out the process data information and variables related to chatter mark. Based on the method of PCA, build the relation model of chatter mark and the state of rolling plant, diagnose the main process variables and parameters that lead to chatter marks, and gives recommendations for the guidance of production operations. Off-line tests show that the method can effectively prevent the emergence of flower formation.
  • Keywords
    cold rolling; machining chatter; principal component analysis; production engineering computing; quality management; rolling mills; PCA; chatter marks diagnosis; cold rolled steel strips; flower formation; product quality; production operations; rolling plant; skin passed steel strips; Correlation; Industries; Inspection; Monitoring; Principal component analysis; Skin; Strips; Cold-rolled; PCA; chatter marks; line monitoring system; variable correlation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554142
  • Filename
    5554142