• DocumentCode
    1468875
  • Title

    Automated Monitoring of Airgap Eccentricity for Inverter-Fed Induction Motors Under Standstill Conditions

  • Author

    Hyun, Doosoo ; Hong, Jongman ; Lee, Sang Bin ; Kim, Kwonhee ; Wiedenbrug, Ernesto J. ; Teska, Mike ; Nandi, Subhasis ; Chelvan, Ilamparithi Thilumarai

  • Author_Institution
    Coll. of Eng., Korea Univ., Seoul, South Korea
  • Volume
    47
  • Issue
    3
  • fYear
    2011
  • Firstpage
    1257
  • Lastpage
    1266
  • Abstract
    There are many limitations to applying online spectrum analysis techniques for diagnosis of closed-loop inverter-fed induction motors due to variable load or frequency operation, and the masking effect of the current regulator. In this paper, a new automated approach for testing inverter-fed induction machines for airgap eccentricity is proposed. The main concept is to use the inverter to excite the machine with a pulsating field at multiple angular positions to observe the variation of equivalent impedance due to eccentricity, whenever the motor is stopped. It is shown that the increase in the value of the equivalent (leakage) inductance under standstill excitation can be used as an indicator of increasing airgap eccentricity. Standstill testing can provide reliable assessment of eccentricity that is independent of variations in operating conditions, load interferences, or motor type. An experimental study on a 7.5-hp induction motor verifies that eccentricity can be detected with high sensitivity and reliability without additional hardware.
  • Keywords
    air gaps; induction motors; invertors; machine testing; airgap eccentricity; assessment reliability; automated approach; automated monitoring; inverter-fed induction motors; masking effect; online spectrum analysis techniques; power 7.5 hp; standstill excitation; standstill testing; Inductance; Induction motors; Monitoring; Rotors; Stator cores; Testing; AC machine; airgap eccentricity; condition monitoring; diagnostics; induction motors; inverters; offline testing; spectrum analysis;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2011.2126010
  • Filename
    5728868