Diagnosis of stator winding inter-turn shorts in induction motors fed by PWM-inverter drive systems using a Time-Series Data Mining technique

2004 International Conference on Power System Technology, POWERCON 2004

Volumn 1, Issue , 2004, Pages 891-896

  Yeh, ChiaChou ^a   Povinelli, Richard J ^a   Mirafzal, Behrooz ^a   Demerdash, Nabeel A O ^a  

^a Marquette University   (United States)

Author keywords

Data mining; Fault diagnostics; Induction motor; On line condition monitoring; PWM inverter; Space vector; Stator winding inter turn shorts; Time series

Indexed keywords

DATA MINING; ELECTRIC BREAKDOWN; ELECTRIC FAULT LOCATION; ELECTRIC POTENTIAL; ELECTRIC WINDINGS; INDUCTION MOTORS; MATHEMATICAL MODELS; MATRIX ALGEBRA; PROBABILITY DISTRIBUTIONS; ROBUSTNESS (CONTROL SYSTEMS); TIME SERIES ANALYSIS;

FAULT DIAGNOSTICS; ON-LINE CONDITION MONITORING; PWM INVERTERS; SPACE VECTORS; STATOR WINDING INTER-TURN SHORTS;

STATORS;

EID: 20444486230     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. A. H. Bonnett and G. C. Soukup, "Cause and Analysis of Stator and Rotor Failures in Three-Phase Squirrel-Cage Induction Motors," IEEE Transactions on Industry Applications, Vol. 28, pp. 921-937, Jul./Aug. 1992.
2. G. B. Kliman, W. J. Premerlani, R. A. Koegl, and D. Hoeweler, "A New Approach to On-Line Turn Fault Detection in AC Motors," Proceedings Conference in IEEE Industry Applications Annual Meeting, Vol.1, pp.687-693, 1996.
3. H. A. Toliyat and T. A. Lipo, "Transient Analysis of Cage Induction Machines Under Stator, Rotor Bar and End Ring Faults," IEEE Transactions on Energy Conversion, Vol. 10, No. 2, pp. 241-247, Jun. 1995.
4. R. M. Tallam, T. G. Habetler, and R. G. Harley, "Transient Model for Induction Machines With Stator Winding Turn Faults," IEEE Transactions on Industry Applications, Vol. 38, No. 3, pp. 632-637, May/Jun. 2002.
5. J. Penman, H. G. Sedding, B. A. Lloyd, and W. T. Fink, "Detection and Location of Interturn Short Circuits in the Stator Windings of Operating Motors," IEEE Transactions on Energy Conversion, Vol. 9, pp. 652-658, Dec. 1994.
6. J. L. Kohler, J. Sottile, and F. C. Trutt, "Alternatives for Assessing the Electrical Integrity of Induction Motors," IEEE Transactions on Industry Applications, Vol. 28, pp. 1109-1117, Sep./Oct. 1992.
7. R. M. Tallam, T. G. Habetler, and R. G. Harley, "Stator Winding Turn-Fault Detection for Closed-Loop Induction Motor Drives," IEEE Transactions on Industry Applications, Vol. 39, No.3, pp. 720-724, May/Jun. 2003.
8. S. Nandi and H. A. Toliyat, "Novel Frequency-Domain-Based Technique to Detect Stator Intertum Faults in Induction Machines Using Stator-Induced Voltages After Switch-Off," IEEE Transactions on Industry Applications, Vol. 38, No. 1, pp. 101-109, Jan./Feb. 2002.
9. F. Filippetti, G. Franceschini, C. Tassoni, and P. Vas, "AI Techniques in Induction Machines Diagnosis Including The Speed Ripple Effect," IEEE Transactions on Industry Applications, Vol. 34, pp. 98-108, Jan./Feb. 1998.
10. A. Murray and J. Penman, "Extracting Useful Higher Order Features for Condition Monitoring Using Artificial Neural Networks," IEEE Transactions on Signal Processing, Vol. 45, pp. 2821-2828, Nov. 1997.
11. A. Bernieri, G. Betta, and C. Liguori, "On-line Fault Detection and Diagnosis Obtained by Implementing Neural Algorithms on a Digital Signal Processor," IEEE Transactions on Instrument Measurement, Vol. 45, pp. 894-899, Oct. 1996.
12. J. Bangura, R. Povinelli, N. Demerdash, and R. Brown, "Diagnostics of Eccentricities and Bar/End-Ring Connector Breakages in Polyphase Induction Motors Through a Combination of Time-Series Data Mining and Time-Stepping Coupled FE-State-Space Techniques," IEEE Transactions on Industry Applications, Vol. 39, No.4, Jul./Aug. 2003.
13. R. Povinelli, J. Bangura, N. Demerdash, and R. Brown, "Diagnostics of Bar and End-Ring Connector Breakage Faults in Polyphase Induction Motors Through a Novel Dual Track of Time-Series Data Mining and Time-Stepping Coupled FE-State Space Modeling," IEEE Transactions on Energy Conversion, Vol. 17, No. 1, Mar. 2002.
14. H. D. I. Abarbanel, Analysis of Observed Chaotic Data. New York: Springer, 1996.
15. R. J. Povinelli, M. T. Johnson, A. C. Lindgren, and J. J. Ye, "Time Series Classification using Gaussian Mixture Models of Reconstructed Phase Spaces," (in press) Submission to IEEE Transactions on Knowledge and Data Engineering.
16. H. Kantz and T. Schreiber, Nonlinear Time Series Analysis. Cambridge: Cambridge University Press, 1997.
17. F. Takens, "Detecting Strange Attractors in Turbulence," presented at the Dynamical Systems and Turbulence, Warwick, U.K., 1980.
18. P. Vas, Electrical Machines and Drives: A Space-Vector Theory Application. New York: Oxford University Press, 1992.
19. T. K. Moon, "The Expectation-Maximization Algorithm," IEEE Signal Processing Magazine, pp. 47-59, 1996.