A review on induction motor online fault diagnosis

Proceedings - IPEMC 2000: 3rd International Power Electronics and Motion Control Conference

Volumn 3, Issue , 2000, Pages 1353-1358

  Ye, Zhongming ^a   Wu, Bin ^a  

^a RYERSON UNIVERSITY   (Canada)

Author keywords

Artificial intelligence; Fault diagnosis; Fuzzy; Induction motor; Neural network; Vsi

Indexed keywords

AC MOTORS; ARTIFICIAL INTELLIGENCE; ELECTRIC DRIVES; EXPERT SYSTEMS; FAILURE ANALYSIS; FEATURE EXTRACTION; FUZZY INFERENCE; FUZZY LOGIC; INDUCTION MOTORS; MOTION CONTROL; NEURAL NETWORKS; POWER CONTROL; POWER ELECTRONICS;

FEATURE EXTRACTION METHODS; FUZZY; INSULATION FAULT; INVERTER-FED INDUCTION MOTORS; MECHANICAL FAULTS; ON-LINE FAULT DIAGNOSIS; STATIC CURRENTS; VSI;

FAULT DETECTION;

EID: 84951923777     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPEMC.2000.883050     Document Type: Conference Paper

References (41)

1. M. M. Botha, Electrical machine failures, causes and cures, IEE EMD conference record, 1997.
2. Subhasis Nandi, H. Toliyat, Fault diagnosis of elcctrical machines - A review, IEEE conference, 1999.
3. M. E. Benbouzid, A review of induction motor signature analysis as a medium for faults detection, IEEE, 1998, pp 1950-1955.
4. T. Breen, Kliman, S. Patel, New developments in non-invasive online motor diagnosis, IEEE, 1996, pp231 -236.
5. R. Schocn, Lin, G. Habetler, et al, Motor bearing damage detection using stator current monitoring, IEEE IA vol31, No6, pp1274-1279.
6. R. R. Schoen, et al, An unsupervised online system for induction fault detection using stator current monitoring, IEEE IA voI 31, no.6, pp1280- 1286.
7. J. Penman, et al, Detection and location of inter-turn short circuits in the stator windings of operation motors. IEEE EC, vol 9 no.4.
8. Toliyat, Lipo, Transient analysis of cage induction machines under stator, rotor bar and end ring faults, IEEE EC, vol 10 no.4, 1994.
9. Bonnett, Soukup, Rotor failures in squirrel cage induction motors, IEEE- IA, vol 22, no.6, pp 165-1173.
10. Austiin, Bonnet, G. Soukup, Rotor failures in squirrel cagc induction motors, IEEE I A, vol22, no.6, pp 165-1173.
11. Kliman, Koegl, Noninvasive detection of broken bars in operating induction motors, IEEE EC vol 3, no4, 1988, pp874-879.
12. M. Elkasabgy, Eastam, G. Dawson, Detection of broken bars in the cage rotor on an induction machine, IEEE IA, vol 28, No.1, 1992, pp 165-171.
13. G. Kliman, et al, Noninvasive detection of broken rotor bars in operation induction motors, IEEE EC vol 3 no 4, pp 873-879.
14. Shoen. R R., Habetler, Effects of time varying loads on rotor fault detection in induction machines, IEEE IA vol.31, No.4, 1995. Pp 900-906.
15. N. Elkasabgy, et al, Detection of broken bars in the cage rotor on an induction machinc, IEEE 1A voI 22, no 6, pp 165-171.
16. Bousghiri Kratz, Malasse, Fault detection using state estimation, application to an electrical mechanical process, IEEE 1995, pp2397-2402.
17. J. Pennman, Sedding, Lloyd, et al, Detection and locating of interturn short circuits in the stator windings of operating motors, IEEE EC, vol.9 No.4, pp652-658.
18. Kliman GB, Premerlani, et al, A new approach to online turn fault detection in ac motors, IEEE conference record, 1996, pp687-693.
19. Shoen, RR, Habetler, Kamran, et al, Motor bearing damage detection using stator current monitoring, IEEE conference record, 1994, pp11O-116, or IA vol31. No.6 ppl274-1279.
20. D. Dorrell, W. Thomson, Analysis of air gap flux, current, vibration signals as function of the combination of static and dynamic airgap eccentricity in 3-phase induction motors, IEEE IA vol 33 no.1, pp24-34, 1997.
21. Benbouzid Beguenance, Vieira, Induction motor asymmetrical faults detection using advanced signal processing techniques, IEEE EC, vol 14, No.2, 1999, pp147-152.
22. Benbouzid Vieira, Theyc, Induction motors' faults detection and localization using stator current advanced signal processing techniques, IEEE PE, vol 14, no.1, 1999, pp14-22.
23. Yazici, Kliman, An adaptive statistical time-frequency method for detection of broken bars and bearing faults in motors using stator current, IEEE IA, vol35, No.2, 1999, pp442-452.
24. M. Chow, Peter Mangun, R. Thomas, Incipient fault detection in DC machines using neural network, IEEE conference record, 1988, pp706-709.
25. M. Chow, Sui Yee, Methodology for online incipient fault detection in single phase squirrel cage induction motor using artificial neural network, IEEE EC, 1991, pp536-544.
26. M. Chow, R. Sharpe, J. Huang, On the application and design of artificial neural networks for motor fault detection -part 1, IEEE Transactions, IE, vol 40, no.2, Aprial 1993, pp181-188.
27. M. Chow, R Sharpe, J. Huang, A methodology using fuzzy logic to optimize feed forward artificial neural network configurations, IEEE Transactions, system, man and cybernetics, vol 24, no.5, 1994, pp760-768.
28. F. Fillippetti, et al, Neural network architectures for fault diagnosis and parameter recognization in induction machines, IEEE conference record, 1996, pp289-293.
29. F.Filippetti, Neural network aided online diagnostics of induction motor rotor faults, IEEE conference record, pp316-323.
30. F. Filippetti, et al, Broken bar detection in induction machines, comparison between current spectrum approach and parameter estimation approach, IEEE conference record, 1994, pp95-102.
31. M. Rokonuzzaman, M. A. Rahman, Neural network based incipient fault detection of induction motors, IEEE conference record, 1995, pp199- 202.
32. F. Filippetti, et al, Recent development of induction motor drives fault diagnosis using AI techniques, IEEE 1998, pp1966-1973.
33. D. Leith, D. Rankin, Real time expert system for identification of rotor faults and mechanical influence in induction motor phase current, IEEE conference record, pp46-50.
34. P. Tavner, Condition monitoring- The way ahead for large electrical machines, IEE conference record, pp159-162.
35. G. Bucci, Landi, C., Special measurement system for online fault diagnosis in induction motors, IEEE conference record, 1994, pp 1794-1798.
36. F. Fillippetti, Franceschini, Carla, et al, AI techniques in induction machines diagnosis including the speed ripple effect, IEEE IA vol 34, No.1, 1998, pp98-108.
37. Cardoso, et al, Computer-aided detection of air gap eccentricity in operating three-phase induction motors by Park's vector approach, IEEE 1A pp897-90.
38. R. Wieser, C. Krai, Matthias, Online rotor cage monitoring of inverter fed induction machines by means of an improved method, IEEE PE vol. 14, No 5, Sept., 1999, pp858-865.
39. S. Shinnaka, New adaptive vector control for induction motors and its potential application for motor fault detection, IEEE conference, 1998, pp190 -907.
40. R. Peuget, S. Stephane, J. Rognon, Fault detection and isolation on a PWM inverter by knowledge-based model, IEEE IA, vol34, No. 6, 1998, pp318-326.
41. Alex. Cash, T. Habetler, Insulation failure detection in the stator windings of ASD driven induction machines using standard deviation of line current, IEEE conference record, 1998, pp299-303.