• DocumentCode
    1368899
  • Title

    Distinguishing Load Torque Oscillations and Eccentricity Faults in Induction Motors Using Stator Current Wigner Distributions

  • Author

    Blödt, Martin ; Regnier, Jérémi ; Faucher, Jean

  • Author_Institution
    Mobility Div., Siemens AG, Erlangen, Germany
  • Volume
    45
  • Issue
    6
  • fYear
    2009
  • Firstpage
    1991
  • Lastpage
    2000
  • Abstract
    This paper proposes a novel diagnosis method for detection and discrimination of two typical mechanical failures in induction motors by stator current analysis: load torque oscillations and dynamic rotor eccentricity. A theoretical analysis shows that each fault modulates the stator current in a different way: torque oscillations lead to stator current phase modulation, whereas rotor eccentricities produce stator current amplitude modulation. The use of traditional current spectrum analysis involves identical frequency signatures with the two fault types. A time-frequency analysis of the stator current with the Wigner distribution leads to different fault signatures that can be used for a more accurate diagnosis. The theoretical considerations and the proposed diagnosis techniques are validated on experimental signals.
  • Keywords
    Wigner distribution; fault diagnosis; induction motors; oscillations; rotors; spectral analysis; stators; time-frequency analysis; torque; current spectrum analysis; eccentricity faults; fault signatures; induction motors; load torque oscillations; mechanical failures; stator current Wigner distributions; stator current amplitude modulation; stator current analysis:; stator current phase modulation; time-frequency analysis; Condition monitoring; Wigner Distribution (WD); eccentricity; fault diagnosis; induction motor drives; load unbalance; motor current signature analysis; torque oscillation;
  • fLanguage
    English
  • Journal_Title
    Industry Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0093-9994
  • Type

    jour

  • DOI
    10.1109/TIA.2009.2031888
  • Filename
    5238531