• DocumentCode
    1312639
  • Title

    Medium–Large Induction Machines

  • Author

    Arshad, Waqas M. ; Kanerva, Sami ; Bono, Silvia ; Menescardi, Massimo ; Persson, Holger

  • Author_Institution
    ABB Corp. Res. in Raleigh, Raleigh, NC, USA
  • Volume
    16
  • Issue
    6
  • fYear
    2010
  • Firstpage
    28
  • Lastpage
    36
  • Abstract
    In this article, the accuracy levels of different scaling procedures for starting current measurements are addressed through the statistical analysis of locked-rotor tests involving hundreds of medium-large induction machines. This is performed to ascertain the confidence level of the predicted full-voltage starting currents from the reduced-voltage factory measurements, a necessity for motors with a strict tolerance to the starting current level. It is shown that, for traditional scaling methods employing only measurements, this accuracy level is 88-90% for scaling step from 0.6 to 1.0 p.u. voltage. This figure could be raised to 95-97% through a novel method that also uses finite element method (FEM) simulations for each individual test voltage. The differences between FEM and voltage measurements are documented and used for correcting the full-voltage FEM simulation. Further, the use of FEM is shown to help in the understanding of the causes and locations of measured voltage-dependent saturation uncertainties. The region (end-core, overhang, or main core) that contributes the most to saturation uncertainties is shown to be identifiable through origin/parametric dependencies, leading to a better product understanding and more reliable scaling methods in future.
  • Keywords
    asynchronous machines; electric current measurement; finite element analysis; statistical analysis; voltage measurement; finite element method; full-voltage FEM simulation; full-voltage starting currents; locked-rotor tests; medium-large induction machines; origin-parametric dependencies; reduced-voltage factory measurements; scaling methods; starting current measurements; statistical analysis; voltage-dependent saturation uncertainties; Finite element methods; Induction motors; Measurements; Statistical analysis; Voltage measurement;
  • fLanguage
    English
  • Journal_Title
    Industry Applications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1077-2618
  • Type

    jour

  • DOI
    10.1109/MIAS.2010.938385
  • Filename
    5562691