• DocumentCode
    555673
  • Title

    Cuscore charts detecting spike signals in feedback control scheme

  • Author

    Ma, Yi-zhong ; Wu, Feng ; Liu, Li-ping

  • Author_Institution
    Sch. of Econ. & Manage., Nanjing Univ. of Sci. & Technol., Nanjing, China
  • Volume
    Part 2
  • fYear
    2011
  • fDate
    3-5 Sept. 2011
  • Firstpage
    1010
  • Lastpage
    1013
  • Abstract
    Integration of statistical process control (SPC) and engineering process control (EPC) is found widely recognition in reducing process variability. The focus in this work is providing a method for detecting spike signals in an industrial process under the feedback control scheme using Cuscore chart. First, relevant works and the Cuscore statistic are introduced, then the appropriate Cuscore statistic that can be used to identify spike signals hidden in an integrated control scheme is derived. And finally, the effectiveness of the Cuscore statistic to detect spike signals is illustrated by simulations.
  • Keywords
    control charts; feedback; statistical process control; Cuscore chart; Cuscore statistic; engineering process control; feedback control; industrial process; process variability; spike signal detection; statistical process control; Centralized control; Control charts; Equations; Mathematical model; Monitoring; Noise; Process control; Cuscore statistic; engineering process control; integration model; spike signals; statistical process control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-61284-446-6
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2011.6035327
  • Filename
    6035327