Loading Effect on Induction Motor Eccentricity Diagnostics Using Vibration and Motor Current

  • Ganeriwala SuriEmail author
Part of the Conference Proceedings of the Society for Experimental Mechanics Series book series (CPSEMS)


Diagnostics of an induction motors is serious issue for improving plant reliability. Air gap eccentricity between rotor and the stator can lead to power loss, decrease in efficiency, current spikes, and other complications leading to premature failure of a motor. Motor current signature analysis (MCSA) and vibration data are commonly used for diagnosing induction motor problems. However, the effect of mechanical loading on the fault signature is not clear. This paper will present a comparison of vibration and motor current signals for induction motor subjected to different levels of torque, unbalance and misalignment loading air gap eccentricity fault signatures. Experiments were performed on intentionally faulted motor with varying degrees of static air-gap eccentricity. Different levels of mechanical torque, unbalance and misalignment loadings were applied to the rotor side. The data was analyzed using both vibration and motor current sensors. Results indicate significant components in motor current signature to due rotor eccentricity and torsional mechanical loadings. Vibration spectra do not provide a clear picture air gap eccentricity fault. But vibration data provide a better indication of mechanical faults than the motor current data. The results suggest that both motor current and vibration measurements are required for more complete diagnostics of induction motors.


MCSA Condition monitoring Diagnostics Vibration analysis Motor current signature analysis 


  1. 1.
    Benbouzid MEH (2000) A review of induction motors signature analysis as a medium for faults detection. IEEE Trans Ind Electron 47(5):984–993CrossRefGoogle Scholar
  2. 2.
    Nandi S, Toliyat HA, Li X (2005) Condition monitoring and fault diagnosis of electrical motors – a review. IEEE Trans Energy Convers 20(4):719–729CrossRefGoogle Scholar
  3. 3.
    Nakhaeinejad M, Bryant MD (2009) Measurements of faulty and healthy rolling element bearings. In: ASME/STLE international joint tribology conference, MemphisGoogle Scholar
  4. 4.
    Penrose HW (2005) Practical motor current signature analysis taking the mystery out of MCSA. All-Test Pro Inc. Tech note, SaybrookGoogle Scholar
  5. 5.
    Schlensok C, van Riesen D, Hameyer K (2006) Structure-dynamic analysis of an induction machine with eccentric rotor movement. In: 17th international conference on electrical machines, ICEM, Crete Island, GreeceGoogle Scholar
  6. 6.
    Ganeriwala S (2014) The effect of loading on induction motor air gap eccentricity fault signature using vibration and motor current signature analysis (MCSA), BINDT-CM2014 conference, Manchester, UK Google Scholar
  7. 7.
    Thomson WT (2003) Keep motors turning via motor current signature analysis. In: IMC-2003, the 18th international maintenance conference, ClearwaterGoogle Scholar
  8. 8.
    Thomson WT (2001) On-line MCSA to diagnose shorted turns in low voltage stator windings of 3-phase induction motors prior to failure. In: Proceedings of IEEE conference on electrical machines and drives (IEMDC), BostonGoogle Scholar
  9. 9.
    Thomson WT (1999) A review of on-line condition monitoring techniques for three-phase squirrel-cage induction motors – past, present, and future. IEEE symposium on diagnostics for electrical machines, power electronics and drives, Gijon, pp 3–18 (opening keynote address)Google Scholar
  10. 10.
    Thomson WT, Frenger M (2001) Current signature analysis to detect induction motor faults. IEEE Ind Appl Mag 7(4):26–34CrossRefGoogle Scholar
  11. 11.
    Spectra Quest Tech Note (2006) Diagnostics of induction motor with broken bars Using motor current signature analysis (MCSA). Jan 2006Google Scholar
  12. 12.
    Nakhaeinejad M, Ganeriwala S (2009) Experimental study of misalignment in rotating machinery. In: Power-Gen international conference 2009, Las VegasGoogle Scholar

Copyright information

© The Society for Experimental Mechanics, Inc. 2015

Authors and Affiliations

  1. 1.SpectraQuest Inc.RichmondUSA

Personalised recommendations