• DocumentCode
    3603223
  • Title

    Multivariate Control for Three Variables of an Industrial Roll-Type Electrostatic Separator

  • Author

    Senouci, Khouira ; Medles, Karim ; Messal, Sara ; Dascalescu, Lucian

  • Author_Institution
    IRECOM Lab., Univ. Djillali Liabes, Sidi Bel Abbès, Algeria
  • Volume
    51
  • Issue
    6
  • fYear
    2015
  • Firstpage
    4752
  • Lastpage
    4758
  • 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 T2 chart for three variables would allow controlling 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
    electrostatic precipitators; electrostatics; graph theory; multivariable control systems; recycling; separation; statistical process control; Algeria; Hotelling T2 charts; dust particles; electric cable wastes; high-voltage electrodes; high-voltage reduction; industrial roll-type electrostatic separator; multivariate electrostatic separation process control; pilot-plant electrostatic separator; product collector; raw materials; recycling industry; statistical control; Control charts; Correlation; Electrodes; Electrostatics; Particle separators; Process control; Electrostatic separation; Hotelling’s T² chart; Hotelling´s $T^{2}$ chart; Shewhart charts; Statistical process control SPC; statistical process control (SPC);
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2015.2448052
  • Filename
    7128717