• DocumentCode
    3338342
  • Title

    Multivariate quality control of plastic products based on principal component analysis

  • Author

    Xi, Cheng ; Yaoguang, Hu ; Fenggong, Gao ; Yan, Yan

  • Author_Institution
    Sch. of Mech. & Vehicular Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    23-25 June 2010
  • Firstpage
    552
  • Lastpage
    557
  • Abstract
    In the production of PVC gloves, there are 15 procedures which bring many difficulties to process control and diagnosis. In order to solve the problem, multivariate quality control method based on Principal Component Analysis was proposed. This article discusses the application of Principal Component Analysis in multivariate quality control of plastic products after summarizing the theories and methods. Proposed a case of the production of PVC gloves, five variables were kept by applying PCA to the seven variables in the process. The result shows the proposed method can get a simple and scientific conclusion in the production of PVC gloves.
  • Keywords
    Control charts; Cooling; Covariance matrix; Inspection; Plastic products; Principal component analysis; Process control; Production; Quality control; Space technology; PVC products; multivariate quality control; principal component analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences and Interaction Sciences (ICIS), 2010 3rd International Conference on
  • Conference_Location
    Chengdu, China
  • Print_ISBN
    978-1-4244-7384-7
  • Electronic_ISBN
    978-1-4244-7386-1
  • Type

    conf

  • DOI
    10.1109/ICICIS.2010.5534767
  • Filename
    5534767