• DocumentCode
    1074789
  • Title

    Identification of Influential Functional Process Variables for Surface Quality Control in Hot Rolling Processes

  • Author

    Jin, Nong ; Zhou, Shiyu ; Chang, Tzyy-Shuh ; Huang, Howard Hsun-Hau

  • Author_Institution
    Capital One Financial, Richmond, VA
  • Volume
    5
  • Issue
    3
  • fYear
    2008
  • fDate
    7/1/2008 12:00:00 AM
  • Firstpage
    557
  • Lastpage
    562
  • Abstract
    This paper focuses on surface quality improvement in hot rolling processes. A systematic method based on functional data analysis is developed to identify the key influential process variables. It provides guidelines for hot rolling process control and can also be expanded to generic scenarios of functional variable selection.
  • Keywords
    hot rolling; process control; quality control; statistical testing; surface treatment; functional data analysis; functional variable selection; hot rolling processes; influential functional process; long-term troubling issue; rigorous statistical testing; root cause identification; surface quality control; surface quality improvement; Functional data analysis (FDA); functional variable; hitting rate; hot rolling process; surface quality control;
  • fLanguage
    English
  • Journal_Title
    Automation Science and Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5955
  • Type

    jour

  • DOI
    10.1109/TASE.2007.912715
  • Filename
    4454710