Induction motor fault detection using vibration and stator current methods

Insight: Non-Destructive Testing and Condition Monitoring

Volumn 46, Issue 8, 2004, Pages 473-478

  Li, W ^a   Mechefske, C K ^a  

^a QUEEN S UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CONDITION MONITORING; CORRELATION METHODS; ELECTRIC CURRENT MEASUREMENT; FREQUENCY RESPONSE; NATURAL FREQUENCIES; SENSITIVITY ANALYSIS; STATORS; VIBRATIONS (MECHANICAL);

FAULT DETECTION; FAULT DIAGNOSIS; INDUCTION MOTOR FAULTS;

INDUCTION MOTORS;

EID: 4043155832     PISSN: 13542575     EISSN: None     Source Type: Journal    
DOI: 10.1784/insi.46.8.473.39379     Document Type: Article

References (16)

1. W T Thomson, 'Current signature analysis to detect induction motor faults', IEEE Industry Applications Magazine, pp 26-34, July/August 2001.
2. G B Kliman, R A Koegl, J Stein, R D Endicott, and M W Madden, 'Noninvasive detection of broken bars in operating induction motors', IEEE Trans. Energy Conversion, Vol 3, No 4, pp 873-879, December 1988.
3. R R Schoen, T G Habetler, F Kamran and R G Bartheld, 'Motor bearing damage detection using stator current monitoring', IEEE Trans. Industry Applications, Vol 36, No 6, pp 1274-1279, November/December 1995.
4. T B Breen, G B Kliman and S C Patel, 'New developments in non-invasive on-line motor diagnostics', IEEE Proceedings-Petroleum and Chemical Industry Conference, pp 231-236, September 1996.
5. M E H Benbouzid, M Vieira and C Theys, 'Induction Motors' Faults Detection and Localization Using Stator Current Advanced Signal Processing Techniques', IEEE Trans. Power Electronics, Vol 14, No 1, pp 14-22, January 1999.
6. M E H Benbouzid, 'A review of induction motors signature analysis as a medium for faults detection', IEEE Trans. Power Electronics, Vol 14, No 5, pp 984-993, October 2000.
7. G Betta, A Paolillo, A Pietrosanto, 'A DSP-based FFT-analyzer for the fault diagnosis of rotating machine based on vibration analysis', IEEE Trans. Instrumentation and Measurement, Vol 51, No 6, pp 1316-1322, December 2002.
8. C M Riley, B K Lin, T G Habetler and G B Kliman, 'Stator current harmonics and their causal vibrations: a preliminary investigation of sensorless vibration monitoring applications', IEEE Trans. Industry Applications, Vol 35, No 1, pp 94-99, January/February 1999.
9. B Liang, S D Iwnicki and A D Ball, 'Asymmetrical stator and rotor faulty detection using vibration, phase current and transient speed analysis', Mechanical Systems and Signal Processing, Vol 17, No 4, pp 857-869, 2003.
10. A R Munoz, 'Using an autoregressive model in the detection of abnormal characteristics of squirrel cage induction motors', Electric Power Systems Research, Vol 55, pp 73-77, 2000.
11. N Arthur and J Penman, 'Induction machine condition monitoring with higher order spectra', IEEE Trans. Industrial Electronics, Vol 47, No 5, October 2000.
12. F Filippetti, G Franceschini, C Tassoni and P Vas, 'AI techniques in induction machines diagnosis including the speed ripple effect', IEEE Trans. Industry Applications, Vol 34, No 1, pp 98-108, January/February 1998.
13. Z Ye, B Wu and A Sadeghian, 'Current Signature Analysis of Induction Motor Mechanical Faults by Wavelet Packet Decomposition', IEEE Trans. Industrial Electronics, Vol 50, No 6, pp 1217-1228, December 2003.
14. M Haji and H A Toliyat, 'Pattern recognition - a technique for induction machines rotor broken bar detection', IEEE Trans. Energy Conversion, Vol 16, No 4, pp 312-317, December 2001.
15. D R Rankin, 'The industrial application of phase current analysis to detect rotor winding faults in squirrel cage induction motors', IEE Power Engineering, pp 77-84, April 1995.
16. J S Bendat and A G Piersol, 'Engineering applications of correlation and spectral analysis', New York, John Wiley, 1980.