Techniques for online diagnosis of stator shorted turns in induction motors

Electric Power Components and Systems

Volumn 34, Issue 1, 2006, Pages 97-114

  Albizu, Igor ^a   Zamora, I ^a   Mazon, A J ^a   Tapia, A ^a  

^a UNIVERSITY OF THE BASQUE COUNTRY UPV EHU   (Spain)

Author keywords

Induction motors; Online diagnosis; Stator shorted turns

Indexed keywords

DIAGNOSIS; ELECTRIC POTENTIAL; ONLINE SYSTEMS; SHORT CIRCUIT CURRENTS;

ONLINE DIAGNOSIS; STATOR SHORTER TURNS;

INDUCTION MOTORS;

EID: 31444449851     PISSN: 15325008     EISSN: 15325016     Source Type: Journal    
DOI: 10.1080/15325000691001359     Document Type: Article

References (53)

1. A. H. Bonnett and G. C. Soukup, “Cause and analysis of stator and rotor failures in threephase squirrel-cage induction motors,” IEEE Transactions on Industrial Applications, vol. 28, pp. 921–937, 1992.
2. W. T. Thomson, “A review of on-line condition monitoring techniques for three-phase squirrelcage induction motors—past present and future,” IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives SDEMPED’99, Gijón, Spain, pp. 3–18, 1999.
3. R. Tallam, S. B. Lee, G. Stone, G. B. Kliman, J. Yoo, T. G. Habetler, and R. G. Harley, “A survey of methods for detection of stator related faults in induction machines,” IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives SDEMPED’03, Atlanta, pp. 35–46, 2003.
4. D. G. Edwards, “On-line diagnosis of defects in the stator winding structures of high voltage rotating machines,” International Conference on Electrical Machines ICEM’92, Manchester, UK, 1992.
5. G. C. Stone, H. G. Sedding, and M. J. Costello, “Application of partial discharge testing to motor and generator stator winding maintenance,” IEEE Transactions on Industry Applications, vol. 32, no. 2, pp. 459–464, 1996.
6. IEEE 1434-2000. IEEE Trial Use Guide to the Measurement of Partial Discharges in Rotary Machinery.
7. S. Williamson and K. Mirzoian, “Analysis of cage induction motors with stator winding faults,” IEEE Transactions on Power Apparatus and Systems, vol. 104, no. 7, pp. 1838–1842, July 1985.
8. G. B. Kliman, W. J. Premerlani, R. A. Koegl, and D. Hoeweler, “A new approach to on-line turn fault detection in ac motors,” IEEE Industry Applications Society Conference, San Diego, vol. 1, pp. 687–693, 1996.
9. G. B. Kliman, W. J. Premerlani, R. A. Koegl, and D. Hoeweler, “Sensitive, on-line turn-toturn fault detection in AC motors,” Electric Machines and Power Systems, vol. 28, no. 10, pp. 915–927, 2000.
10. M. Arkan and P. J. Unsworth, “Stator fault diagnosis in induction motors using power decomposition,” IEEE Industry Applications Society Conference, pp. 1908–1912, 1999.
11. M. Arkan, Stator Fault Diagnosis in Induction Motors, PhD dissertation, University of Sussex, UK, 2000.
12. M. Arkan, D. K. Perovic, and P. Unsworth, “Online stator fault diagnosis in induction motors,” IEE Proceedings—Electric Power Applications, vol. 148, no. 6, pp. 537–547, 2001.
13. M. Arkan, D. K. Perovic, and P. J. Unsworth, “Closed rotor slot effect on negative sequence impedance,” IEEE Industry Applications Society Conference, pp. 751–753, 2001.
14. R. M. Tallam, T. G. Habetler, R. G. Harley, D. J. Gritter, and B. Burton, “Neural network based stator winding turn-fault detection for induction motors,” IEEE Industry Applications Society Conference, Roma, Italy, vol. 1, pp. 375–380, 2000.
15. R. M. Tallam, T. G. Habetler, and R. G. Harley, “Self-commisioning training algorithms for neural networks with applications to electric machine fault diagnostics,” IEEE Transactions on Power Electronics, vol. 17, no. 6, pp. 1089–1095, 2002.
16. R. Tallam, T. G. Habetler, and R. G. Harley, “Experimental testing of neural-network-based turn-fault detection scheme for induction machines under accelerated insulation failure conditions,” IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives SDEMPED’03, Atlanta, pp. 58–62, 2003.
17. A. J. M. Cardoso, S. M. A. Cruz, and D. S. D. Fonseca, “Inter-turn stator winding fault diagnosis in three-phase induction motors by Park’s vector approach,” IEEE Transactions on Energy Conversion, vol. 14, no. 3, pp. 595–598, 1999.
18. S. M. A. Cruz and A. J. M. Cardoso, “Stator winding fault diagnosis in three-phase synchronous and asynchronous motors, by the extended Park’s vector approach,” IEEE Transactions on Industry Applications, vol. 37, no. 5, pp. 1227–1233, 2001.
19. D. K. Perovic, M. Arkan, and P. Unsworth, “Induction motor fault detection by space vector angular fluctuation,” IEEE Industry Applications Society Conference, pp. 388–394, 2000.
20. F. Filippetti, G. Franceschini, C. Tassoni, S. Meo, and A. Ometto, “Neural network aided on-line diagnostics of induction machine stator faults,” International Universities Power Engineering Conference UPEC’95, pp. 148–151, 1995.
21. F. Filippetti, G. Franceschini, A. Ometto, and S. Meo, “A survey of neural network approach for induction machine on-line diagnosis,” International Universities Power Engineering Conference UPEC’96, pp. 17–20, 1996.
22. 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, no. 5, pp. 1109–1117, 1992.
23. J. Sottile and J. L. Kohler, “An on-line method to detect incipient failure of turn insulation in random-wound motors,” IEEE Transactions on Energy Conversion, vol. 8, no. 4, pp. 762–768, 1993.
24. J. L. Kohler, J. Sottile, and F. C. Trutt, “Condition monitoring of stator windings in induction motors: Part I—Experimental investigation of the effective negative-sequence impedance detector,” IEEE Transactions on Industry Applications, vol. 38, no. 5, pp. 1447–1453, 2002.
25. M. G. Melero, M. F. Cabanas, G. A. Orcajo, J. M. Cano, and G. A. Capolino, “An automated insulation failure detection system for working induction motors,” European Conf. Power Electronics and Applications EPE’99, Lausanne, Switzerland, 1999.
26. M. F. Cabanas, M. G. Melero, G. A. Orcajo, J. M. Cano, F. Briz del Blanco, and G. A. Capolino, “A new methodology for applying the FFT to induction motor diagnosis,” IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives SDEMPED’99, Gijón, Spain, pp. 537–543, 1999.
27. M. G. Melero, M. F. Cabanas, C. H. Rojas, G. A. Orcajo, J. M. Cano, and J. Solares, “Study of an induction motor working under stator winding inter-turn short circuit condition,” IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives SDEMPED’03, Atlanta, pp. 52–57, 2003.
28. F. C. Trutt, J. Sottile, and J. L. Kohler, “Detection of electrical winding deterioration in induction motors,” Electric Power Components and Systems, vol. 29, no. 11, pp. 1025–1033, 2001.
29. F. C. Trutt, J. Sottile, and J. L. Kohler, “Online condition monitoring of induction motors,” IEEE Transactions on Industry Applications, vol. 38, no. 6, pp. 1627–1632, 2002.
30. J. L. Kohler, J. Sottile, and F. C. Trutt, “Condition monitoring of stator windings in induction motors: Part II—Experimental investigation of voltage mismatch detectors,” IEEE Transactions on Industry Applications, vol. 38, no. 5, pp. 1454–1459, 2002.
31. J. Sottile, F. C. Trutt, and J. L. Kohler, “Application of online voltage mismatch condition monitoring of induction motor stator windings in a mining environment,” IEEE Industry Applications Society Conference, pp. 1637–1644, 2003.
32. S. B. Lee, R. M. Tallam, and T. G. Habetler, “A robust, on-line turn-fault detection technique for induction machines based on monitoring the sequence component impedance matrix,” IEEE Transactions on Power Electronics, vol. 18, no. 3, pp. 865–872, 2003.
33. M. A. Cash, T. G. Habetler, and G. B. Kliman, “Insulation failure prediction in AC machines using line-neutral voltages,” IEEE Transactions on Industry Applications, vol. 34, no. 6, pp. 1234–1239, 1998.
34. J. Penman, M. N. Dey, A. J. Tait, and W. E. Bryan, “Condition monitoring of electrical drives,” Proceedings IEE—Part B—Electric Power Applications, vol. 133, no. 3, pp. 142–148, 1986.
35. 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, no. 4, pp. 652–658, 1994.
36. M. F. Cabanas, M. G. Melero, G. A. Orcajo, F. R. Faya, and J. Solares, “Experimental application of axial leakage flux to the detection of rotor asymmetries, mechanical anomalies and inter-turn short circuits in working induction motors,” International Conference on Electrical Machines ICEM’98, Istanbul, Turkey, pp. 420–425, 1998.
37. H. Henao, C. Martis, and G. A. Capolino, “An equivalent internal circuit of the induction machine for advanced spectral analysis,” IEEE Industry Applications Society Conference, pp. 739–745, 2002.
38. T. Assaf, H. Henao, and G. A. Capolino, “Simplified axial flux spectrum method to detect incipient stator inter-turn short-circuits in induction machine,” IEEE International Symposium on Industrial Electronics, Ajaccio, France, pp. 815–819, 2004.
39. M. Negrea and P. Jover, “Magnetic flux and supply current analysis for fault identification in electrical machines,” International Aegean Conference on Electrical Machines and Power Electronics ACEMP’04, Istanbul, Turkey, pp. 14–19, 2004.
40. G. M. Joksimovic and J. Penman, “The detection of inter-turn short circuits in the stator windings of operating motors,” IEEE Transactions on Industrial Electronics, vol. 47, no. 5, pp. 1078–1084, 2000.
41. G. Gentile, N. Rotondale, M. Martelli, and C. Tassoni, “Harmonic analysis of induction motors with stator faults,” Electric Machines and Power Systems, vol. 22, no. 2, pp. 215–232, 1994.
42. F. Filippetti, G. Gentile, S. Meo, A. Ometto, and N. Rotondale, “High order current spectral components utilisation to improve induction machine diagnostics,” International Conference on Electrical Machines ICEM’00, Espoo, Finland, vol. 2, pp. 941–945, 2000.
43. G. Gentile, S. Meo, and A. Ometto, “Induction motor current signature analysis to diagnostics of stator short circuits,” IEEE Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives SDEMPED’03, Atlanta, pp. 47–51, 2003.
44. G. Houdouin, G. Barakat, and B. Dakyo, “Study of inter-turn short circuits in the stator winding of induction machines including saturation effect,” EPE Power Electronics and Motion Control EPE-PEMC’04, Riga, Latvia, 2004.
45. Q. F. Lu, E. Ritchie, and Z. T. Cao, “Experimental study of MCSA to detect stator winding inter-turn short circuit faults on cage induction motors,” International Conference on Electrical Machines ICEM’04, Cracow, Poland, 2004.
46. S. Nandi and H. A. Toliyat, “Novel frequency-domain-based technique to detect stator interturn faults in induction machines using stator-induced voltages after switch-off,” IEEE Transactions on Industry Applications, vol. 38, no. 1, pp. 101–109, 2002.
47. A. Stavrou, H. G. Sedding, and J. Penman, “Current monitoring for detecting inter-turn short circuits in induction motors,” IEEE Transactions on Energy Conversion, vol. 16, no. 1, pp. 32–37, 2001.
48. W. T. Thomson, “On-line MCSA to diagnose shorted turns in low voltage stator windings of 3-phase induction motors prior to failure,” IEEE International Electric Machines and Drives Conference IEMDC’01, Boston, pp. 891–898, 2001.
49. W. T. Thomson and D. Morrison, “On-line diagnosis of stator shorted turns in mains and inverter fed low voltage induction motors,” IEE Int. Conf. on Power Electronics, Machines and Drives, Bath, UK, pp. 122–127, 2002.
50. M. Fenger, M. Susnik, and W. T. Thomson, “Development of a fully portable current signature analysis meter to detect electrical and mechanical faults in induction motor drives,” Iris Rotating Machines Conference IRMC’01, Washington DC, 2001.
51. M. G. Melero, M. F. Cabanas, F. R. Faya, C. H. Rojas, and J. Solares, “Electromagnetic torque harmonics for on-line interturn short circuits detection in squirrel cage induction motors,” European Conference on Power Electronics and Applications EPE’99, Lausanne, Switzerland, 1999.
52. N. Arthur and J. Penman, “Induction machine condition monitoring with higher order spectra,” IEEE Transactions on Industrial Electronics, vol. 47, no. 5, pp. 1031–1041, 2000.
53. F. C. Trutt, J. Sottile, and J. L. Kohler, “Condition monitoring of induction motor stator windings using electrically excited vibrations,” IEEE Industry Applications Conference, vol. 4, pp. 2301–2305, 2002.