• DocumentCode
    180045
  • Title

    Multivariate control for three variables of an industrial roll-type electrostatic separator

  • Author

    Khouira, S. ; Karim, M. ; Sara, M. ; Lucien, D.

  • Author_Institution
    IRECOM, Univ. Djillali Liabes Sidi Bel Abbes, Algeria
  • fYear
    2014
  • fDate
    5-9 Oct. 2014
  • Firstpage
    1
  • Lastpage
    7
  • Abstract
    Hotelling´s T2 charts have already proven their effectiveness in the multivariate control of electrostatic separation process. The aim of this work is to extend the use of these charts from two to three variables, in order to improve the statistical control of an industrial roll-type electrostatic separator designed for the recycling industry. In the case of electrostatic separation processes, the use of: Hotelling´s T 2 chart for three variables would allow to control on a single graph the correlation between the masses accumulated in the three boxes of the product collector. The results of the study carried out on a pilot-plant electrostatic separator for metals and insulators from electric cable wastes in Algeria demonstrated the effectiveness of such a chart in detecting out-of-control situations: accumulation of dust particles on the high-voltage electrodes and reduction of the input flow of raw materials.
  • Keywords
    control charts; electrical products; electrostatic precipitators; recycling; separation; statistical process control; Algeria; Hotelling T2 charts; dust particles accumulation; electric cable wastes; electrostatic separation; industrial roll-type electrostatic separator; multivariate control; recycling industry; statistical process control; Control charts; Correlation; Electrodes; Electrostatics; Particle separators; Process control; Electrostatic separation; Hotteling´s T2; Shewhart charts; Statistical process control SPC; chart; corrélation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industry Applications Society Annual Meeting, 2014 IEEE
  • Conference_Location
    Vancouver, BC
  • Type

    conf

  • DOI
    10.1109/IAS.2014.6978352
  • Filename
    6978352