• DocumentCode
    1845204
  • Title

    Discerning mechanical load unbalances from rotor faults in induction machines through current space vector components

  • Author

    Concari, C. ; Franceschini, G. ; Tassoni, C.

  • Author_Institution
    DII, Univ. of Parma, Parma, OH, USA
  • fYear
    2010
  • fDate
    7-10 Nov. 2010
  • Firstpage
    2609
  • Lastpage
    2614
  • Abstract
    Low frequency load torque oscillations and rotor faults have similar effects on stator current spectral contents of induction machines. Intensive researches efforts have been spent with the aim of separating them through Motor Current Signature Analysis (MCSA). So far, however, the proposed techniques are impractical because they need an accurate estimation of the machine parameters. In this paper a procedure to discern the two kinds of events, based on the unique features of the current space vector, is proposed. By this procedure, MCSA can be safely used to diagnose rotor faults.
  • Keywords
    electrical faults; fault diagnosis; induction motors; oscillations; parameter estimation; rotors; signal processing; stators; torque; MCSA; current space vector component; induction machine; low frequency load torque oscillation; machine parameter estimation; mechanical load unbalance; motor current signature analysis; rotor fault; stator current spectral content; Amplitude modulation; Bars; Load modeling; Oscillators; Rotors; Shape; Torque;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
  • Conference_Location
    Glendale, AZ
  • ISSN
    1553-572X
  • Print_ISBN
    978-1-4244-5225-5
  • Electronic_ISBN
    1553-572X
  • Type

    conf

  • DOI
    10.1109/IECON.2010.5675156
  • Filename
    5675156