• DocumentCode
    2328472
  • Title

    Study on Quality Control Method of Using the Kalman Filtering

  • Author

    Zhang Fan ; Liu Yu

  • Author_Institution
    Econ. & Manage. Sch., Beijing Univ. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Under the conditions of small batch, there are many problems in the applications of statistical process control (SPC), which has limitation in the course of modern industry. The parameter sigma must maintain invariably which comes from its supposition process white noise N (0 , sigma ), or else the control chart is untenable. This paper proposed to carry on the quality control using the Kalman filtering. Using the Kalman filtering as the basic theory of the industry quality control process can fully reflect the content of control. It can completely eliminate inadaptation of the using with SPC in the course of modern industry quality control process. Through the example research, the paper indicates that the Kalman filtering has the compatibility of the quality control compared to SPC, the estimating error of which is small.
  • Keywords
    Kalman filters; batch production systems; quality control; statistical process control; white noise; Kalman filtering; SPC; batch production; industry quality control process; statistical process control; white noise; Control charts; Environmental economics; Filtering; Industrial control; Kalman filters; Mass production; Process control; Quality control; Quality management; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and Information System Security, 2009. EBISS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-2909-7
  • Electronic_ISBN
    978-1-4244-2910-3
  • Type

    conf

  • DOI
    10.1109/EBISS.2009.5138092
  • Filename
    5138092