Article metrics

  • citations in SCindeks: [1]
  • citations in CrossRef:0
  • citations in Google Scholar:[=>]
  • visits in previous 30 days:7
  • full-text downloads in 30 days:5
article: 4 from 7  
Back back to result list
Zbornik radova, Elektrotehnički institut "Nikola Tesla"
2012, iss. 22, pp. 235-249
article language: Serbian
document type: Professional Paper
published on: 12/12/2012
doi: 10.5937/zeint22-2946
The advanced eccentricity and broken cage diagnostic method for medium voltage induction motors
University of Belgrade, Electrical Engineering Institute 'Nikola Tesla'

e-mail: janda@ieent.org

Project

Energy efficiency Improvement of Hydro and Thermal power plants in EPS by development and implementation of power electronics based regulation and automation equipment (MESTD - 33020)

Abstract

In the paper the comparative diagnostics of medium voltage induction motors has been presented. The methods employed are the motor current signature analysis (MCSA) and the axial leakage flux spectral analysis. All presented test procedures have been conducted on partially loaded motors, one without fault and the other with fault. Rated parameters of case study motors are 6 kV and 3.15 MW, and both motors are installed in one combined steam power plant. The reliable broken rotor bars detection and existence of static eccentricity have been demonstrated. The new method for combined fault detection has also been announced. The combined fault under scope is the simultaneous existence of broken rotor bars and static eccentricity. The proposed combined fault detection method is based upon axial leakage flux spectral analysis, especially in the vicinity of the double fundamental frequency. The existence of three broken rotor bars has been confirmed after physical rotor cage examination.

Keywords

induction motor; diagnostics; rotor bar; static eccentricity; motor current spectrum; leakage flux spectrum

References

Bellini, A., Filippetti, F., Tassoni, C., Capolino, G.A. (2008) Advances in Diagnostic Techniques for Induction Machines. IEEE Transactions on Industrial Electronics, 55(12): 4109-4126
Benbouzid, E.H. (2000) A review of induction motors signature analysis as a medium for faults detection. IEEE Transactions on Industry Applications, vol. 47, str. 984 -993, Oct. issue: 5
Ceban, A., Pusca, R., Romary, R.l (2012) Study of Rotor Faults in Induction Motors Using External Magnetic Field Analysis. IEEE Transactions on Industrial Electronics, 59(5): 2082-2093
Elkasabgy, N.M., Eastham, A.R., Dawson, G.E. (1992) Detection of broken bars in the cage rotor on an induction machine. IEEE trans. on Industry Applications, vol. 28, br. 1, January/February, pp 165-171
Finley, W.R. Troubleshooting Induction Motors. Norwood, OH: Siemens Energy & Automation Inc, http://www.sea.siemens.com/us/SiteCollectionDocuments/WSSResources/Internet/Products/1_10/8/TroubleshootingInductionMotors.pdf
Kliman, G.B., Koegl, R.A., Stein, J., Endicott, R.D., Madden, M.W. (1988) Noninvasive detection of broken rotor bars in operating induction motors. IEEE Transactions on Energy Conversion, Volume 3, Issue 4, Dec., 873-879
Rusov, V.A. (1996) Spektral'naja vibrodiagnostika. www.vibrocenter.ru/book8.htm