• DocumentCode
    3625627
  • Title

    Probability Distribution Transformation in Continuous Information Systems Control

  • Author

    Danielius Eidukas;Rimantas Kalnius;Anicetas Vaisvila

  • Author_Institution
    Department of Electronics Engineering, Kaunas University of Technology, Studentu str. 50, LT-51368 Kaunas, Lithuania. danielius.eidukas@ktu.lt
  • fYear
    2007
  • fDate
    6/1/2007 12:00:00 AM
  • Firstpage
    609
  • Lastpage
    614
  • Abstract
    Mathematical models of main stochastic characteristics of continuous multistage inter-operational control for the IS of mechatronics were created, when the flows of rejected IS are returned to the manufacture process for regeneration, and IS classification rules are analogous at the separate control stages, and when undeniable IS classification errors of the first and second kind are present. The efficiency of control operation is estimated in the way of modeling according to transformations of density functions of defectivity level at separate stages, by applying beta distribution and dynamics of defectivity level mean variation. It was shown that returning flows are determined by error probabilities and the level of defectivity before control, and the models of separate stages differ only in the magnitude of generalized error, which equals the product of generalized error probabilities of separate stages. Manufacturing peculiarities of IS and their components were employed during creation of models.
  • Keywords
    "Probability distribution","Information systems","Control systems","Virtual manufacturing","Error correction","Error probability","Mathematical model","Stochastic processes","Mechatronics","Manufacturing processes"
  • Publisher
    ieee
  • Conference_Titel
    Information Technology Interfaces, 2007. ITI 2007. 29th International Conference on
  • ISSN
    1330-1012
  • Print_ISBN
    953-7138-09-7
  • Type

    conf

  • DOI
    10.1109/ITI.2007.4283841
  • Filename
    4283841