• DocumentCode
    1430173
  • Title

    On line diagnosis of defaults on squirrel cage motors using FEM

  • Author

    Bentounsi, A. ; Nicolas, A.

  • Author_Institution
    Inst. d´´Electron. l´´Univ. de Constantine, Algeria
  • Volume
    34
  • Issue
    5
  • fYear
    1998
  • fDate
    9/1/1998 12:00:00 AM
  • Firstpage
    3511
  • Lastpage
    3514
  • Abstract
    In industry, predictive maintenance has become a strategic concept. Economic interest of online diagnosis of faults in electric machines gave rise to various researches in that field. This paper proposes a local approach to tackle the problem of breaking bars and end-rings of squirrel cage in induction machines based mainly on the signature of the local variables, such as the normal flux density. This allows a finer analysis, by use of a finite element based simulation
  • Keywords
    electrical faults; fault diagnosis; finite element analysis; machine theory; machine windings; magnetic flux; maintenance engineering; squirrel cage motors; FEM; breaking bars; end-ring breakages; finite element based simulation; induction machines; local variables signature; normal flux density; online fault diagnosis; predictive maintenance; squirrel cage motors; Bars; Circuit faults; Coupling circuits; Equations; Fault diagnosis; Finite element methods; Induction machines; Magnetic flux; Magnetostatics; Rotors;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.717828
  • Filename
    717828