Wavelet aided SVM classifier for stator inter-turn fault monitoring in induction motors

IEEE PES General Meeting, PES 2010

Volumn , Issue , 2010, Pages

  Das, S ^a   Koley, C ^b   Purkait, P ^a   Chakravorti, S ^c  

^a HALDIA INSTITUTE OF TECHNOLOGY   (India)

^b NATIONAL INSTITUTE OF TECHNOLOGY   (India)

^c JADAVPUR UNIVERSITY   (India)

Author keywords

Concordia pattern; Continuous wavelet transform; Induction motors; Park's transformation; Stator turn fault; Support vector machine

Indexed keywords

CONCORDIA PATTERN; CONTINUOUS WAVELET TRANSFORM; CONTINUOUS WAVELET TRANSFORMS; DATA CLASSIFICATION; EARLY DETECTION; ECONOMICAL OPERATION; FAULT CHARACTERIZATION; FAULT FEATURE; INTER-TURN FAULT; LINE CURRENTS; MODERN SIGNAL PROCESSING; PARK'S TRANSFORMATION; REDUCTION TOOLS; SHORT-CIRCUIT FAULT; STATOR WINDING; SUPPLY CURRENTS; SVM CLASSIFIERS; WINDING FAULTS;

DATA PROCESSING; DATA REDUCTION; METADATA; PARKS; SIGNAL PROCESSING; STATORS; SUPPORT VECTOR MACHINES; TRANSFORMER WINDINGS; WAVELET TRANSFORMS; WINDING;

INDUCTION MOTORS;

EID: 78649589335     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PES.2010.5589595     Document Type: Conference Paper

References (25)

1. Motor Reliability Working Group, "Report of large motor reliability survey of industrial and commercial installations Part I, and II," IEEE Trans. Ind. Appl., vol. IA-21, no. 4, pp. 853-872, 1985.
2. A. Siddique, G. S. Yadava, and B. Singh, "A review of stator fault monitoring techniques of induction motors", IEEE Trans. Energy Conversion, vol. 20, no. 1, pp. 106 -114, 2005.
3. A. Stavrou, H. G. Sedding, and J. Penman, "Current monitoring for detecting inter-turn short circuits in induction motors", IEEE Trans Energy Conversion, vol. 16, no. 1, pp. 32-37, 2001.
4. A. H. Bonnett, and G. C. Soukup, "Cause and analysis of stator and rotor failures in three-phase squirrel-cage induction motors," IEEE Trans. Industry Applications, vol.28, no.4, pp. 921-937, 1992.
5. S. Grubic, J. M. Aller, B. Lu, and T. G. Habetler, "A survey of testing and monitoring methods for stator insulation systems in induction machines", in Proc. International Conference on Condition Monitoring and Diagnosis, CMD 2008, pp. 196-203, 2008.
6. 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 Trans. Energy Conversion, vol. 9, no. 4, 652-658, 1994.
7. R. Natarajan, "Failure identification of induction motors by sensing unbalanced stator currents", IEEE Trans. Energy Conversion, vol. 4, no. 4, pp. 585-590, 1989.
8. J. Sottile and J. L. Kohler, "An on-line method to detect incipient failure of turn insulation in random-wound motors", IEEE Trans. Energy Conversion, vol. 8, no. 4, pp. 762-768, 1993.
9. G. C. Stone and H. G. Sedding, "In- Service evaluation of motor and generator stator windings under partial discharge tests", IEEE Trans. Ind.Appl., vol. 31, no. 2, pp. 299-303, 1995.
10. G. B. Kliman, W. J. Premelani, and R. A. Koeg, "A new approach to online turn fault detection in AC motors", in Proc. IEEE-IAS Annual meeting, New York, vol. 1, pp.687-693, 1996.
11. D. Leith, N. D. Deans, and L. I. D. Stewart, "Condition monitoring of electrical machine using real time expert systems", in Proc. Int. Conf. Electrical Machines, vol. 3, Pisa, Italy, pp. 297-302, Sep. 1988.
12. Lasurt, A. F. Stronach, and J. Penman, "A fuzzy logic approach to the interpretation of higher order spectra applied to fault diagnosis in electrical machines", in Proc. 19th Int. Conf. North American Fuzzy Information Processing Society, pp. 158-162, 2000.
13. R. R. Schoen, B. K. Lin, T. G. Habetler, J. H. Schlag, and S. Farag, "An unsupervised, on-line system for induction motor fault detection using stator current monitoring", IEEE Trans. Ind Appl., vol. 31, no. 6, pp. 1280-1286, 1995.
14. M. E. H. Benbouzid, "A review of induction motors signature analysis as a medium for faults detection", IEEE Trans. Ind. Electron., vol. 47, no. 5, pp. 984-993, 2000.
15. P. V. Goode and M. Y. Chow, "Using a neural/fuzzy system to extract knowledge of incipient fault in induction motors (Part I and Part II)", IEEE Trans. Ind. Electron., vol. 42, no. 2, pp. 131-146, 1995.
16. M. A. S. K. Khan, T. S. Radwan, and M. A. Rahman, "Real-Time Implementation of Wavelet Packet Transform-Based Diagnosis and Protection of Three-Phase Induction Motors", IEEE Trans. Energy Conv., vol. 22, no. 3, pp. 647-655, 2007.
17. F. Zidani, M. El H. Benbouzid, D. Diallo, and M. S. Naït-Saïd, "Induction Motor Stator Faults Diagnosis by a Current Concordia Pattern-Based Fuzzy Decision System", IEEE Trans. Energy Conv., vol. 18, no. 4, pp. 469-475, 2003.
18. A.J.M. Cardoso, S. M. A. Cruz, and D.S.B. Fonseca, "Inter-turn stator winding fault diagnosis in three-phase induction motors by Park's Vector approach", in Proc. IEEE International Electric Machines and Drives Conference Record, pp. MB1/5.1 - MB1/5.3, May 1997.
19. P. Purkait and S. Chakravorti, "Time and frequency domain analyzes based expert system for impulse fault diagnosis in transformers," IEEE Trans. Dielect. Elect. Insulation, vol. 9, pp. 433-445, June 2002.
20. C. Koley, P. Purkait and S. Chakravorti, "Wavelet-Aided SVM Tool for Impulse Fault Identification in Transformers", IEEE Trans. Power Delivery, vol. 21, no.3, pp. 1283-1290, 2006.
21. A. Ganapathiraju, J. H. Hamaker, and J. Picone, "Applications of support vector machines to speech recognition", IEEE Trans. on Signal Processing, Vol. 52, Issue: 8, Aug. 2004, pp. 2348-2355.
22. J. Millet-Roig, R. Ventura-Galiano, F. J. Chorro-Gasco and A. Cebrian, "Support vector machine for arrhythmia discrimination with wavelet transform-based feature selection", Computers in Cardiology 2000, 24-27 Sept. 2000, pp. 407-410.
23. C. Koley, P. Purkait and S. Chakravorti, "SVM Classifier for Impulse Fault Identification in Transformers using Fractal Features", IEEE Trans. Dielect. Elect. Insulation, vol. 14, no.6, pp. 1538-1547, 2007.
24. V. N. Vapnik, Statistical Learning Theory, New York: Wiley, 1998.
25. N. Cristianini and J. Shawe-Taylor, Support Vector Machines, Cambridge University Press, 2000.