Rotor faults diagnosis using feature selection and nearest neighbors rule: Application to a turbogenerator

IEEE Transactions on Industrial Electronics

Volumn 60, Issue 9, 2013, Pages 4063-4073

  Biet, Melisande ^a  

^a EDF R AND D   (France)

Author keywords

Classification algorithms; fault diagnosis; frequency domain analysis; magnetic sensors; monitoring; nearest neighbor searches; pattern analysis; rotors; turbogenerators

Indexed keywords

ALGORITHMS; FAILURE ANALYSIS; FAULT DETECTION; FREQUENCY DOMAIN ANALYSIS; MAGNETIC SENSORS; MONITORING; PATTERN RECOGNITION; PROBES; ROTORS; SIGNAL PROCESSING; SYNCHRONOUS MACHINERY; TURBINES; TURBOGENERATORS;

CLASSIFICATION ALGORITHM; K-NEAREST NEIGHBORS; MAHALANOBIS DISTANCES; NEAREST NEIGHBOR SEARCH; PATTERN ANALYSIS; SELECTION ALGORITHM; STATISTICAL PATTERN RECOGNITION; SYNCHRONOUS MACHINE;

ROTORS (WINDINGS);

EID: 84877770930     PISSN: 02780046     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIE.2012.2218559     Document Type: Article

References (33)

1. R. Smith, "Monitoring for rotor shorted turns," in Proc. Inst. Elect. Eng.-Colloq. Understand. Condition Monit. (Ref. No. 1999/117), 1999, pp. 817-820.
2. A. Miletic, D. Turk, and J. Polak, "Turbogenerator rotor interturn fault detection using the leakage field analysis-Case study," in Proc. IEEE SDEMPED Conf., Cracow, Poland, Sep. 6-8, 2007, pp. 447-450.
3. J. Stein, "Main generator rotor maintenance," Elect. Power Res. Inst., Palo Alto, CA, 2006, EPRI Proj. Manager-Final Rep.
4. J. Hong, S. B. Lee, C. Kral, and A. Haumer, "Detection of air-gap eccentricity for permanent-magnet synchronous motors based on the d-axis inductance," in Proc. IEEE SDEMPED Conf., Bolognia, Italy, Sep. 5-8, 2011, pp. 378-384.
5. C. Bruzzese and G. Joksimovic, "Harmonic signatures of static eccentricities in the stator voltages and in the rotor current of no-load salientpole synchronous generators," IEEE Trans. Ind. Electron., vol. 58, no. 5, pp. 1606-1624, May 2011.
6. C. Bruzzese, "A virtual instrument for online evaluation of alternator's shaft misalignments through ICSVA (internal current space-vector analysis)," in Proc. IEEE SDEMPED Conf., Bolognia, Italy, Sep. 5-8, 2011, pp. 55-62.
7. B. M. Ebrahimi, J. Faiz, and M. J. Roshtkhari, "Static-, dynamic-, and mixed-eccentricity fault diagnoses in permanent-magnet synchronous motors," IEEE Trans. Ind. Electron., vol. 56, no. 11, pp. 4727-4739, Nov. 2009.
8. D. Canha, W. Cronje, A. Meyer, and S. J. Hoffe, "Methods for diagnosing static eccentricity in a synchronous 2-pole generator," Proc. IEEE Lausanne Power Tech, pp. 2162-2167, 2007.
9. A. Foggia, J. Torlay, C. Corewinder, A. Audoli, and J. Herigault, "Circulating current analysis in the parallel-connected windings of synchronous generators under abnormal operating conditions," in Proc. IEMD, Seattle, WA, 1999, pp. 634-636.
10. J. Torlay, C. Corenwinder, A. Audoli, J. Herigault, and A. Foggia, "Analysis of shaft voltages in large synchronous generators," in Proc. IEMD, Seattle, WA, 1999, pp. 607-609.
11. O. Chadebec, V. P. Bui, and P. Granjon, "Rotor fault detection of electrical machines by low-frequency magnetic stray field analysis," in Proc. IEEE SDEMPED Conf., Vienna, Austria, 2005, pp. 1-6.
12. R. Kiani, W.-J. Lee, R. Kenarangui, and B. Fahimi, "Detection of rotor faults in synchronous generators," in Proc. IEEE SDEMPED Conf., Cracow, Poland, Sep. 6-8, 2007, pp. 266-271.
13. B. A. T. Iamamura, Y. LeMenach, A. Tounzi, N. Sadowski, and E. Guillot, "Study of synchronous generator eccentricities using analytical approach and FEM," in Proc. ICEM, Roma, Italy, 2009, pp. 1-6.
14. J. Ramirez-Nino and A. Pascacio, "Detecting interturn short circuits in rotor windings," IEEE Comput. Appl. Power, vol. 14, no. 4, pp. 39-42, Oct. 2001.
15. J. J. Simond, M. T. Xuan, and R. Wetter, "An innovative inductive airgap monitoring for large low-speed hydrogenerators," in Proc. ICEM, Villamoura, U.K., 2008, pp. 1-5.
16. A. Khezzar, M. Yazid Kaikaa, M. El Kamel Oumaamar, M. Boucherma, and H. Razik, "On the use of slot harmonics as a potential indicator of rotor bar breakage in the induction machine," IEEE Trans. Ind. Electron., vol. 56, no. 11, pp. 4592-4605, Nov. 2009.
17. A. Stefani, A. Bellini, and F. Filippetti, "Diagnosis of induction machines' rotor faults in time-varying conditions," IEEE Trans. Ind. Electron., vol. 56, no. 11, pp. 4548-4556, Nov. 2009.
18. J. Pons-Llinares, J. A. Antonino-Daviu, M. Riera-Guasp, M. Pineda-Sanchez, and V. Climente-Alarcon, "Induction motor diagnosis based on a transient current analytic wavelet transform via frequency B-splines," IEEE Trans. Ind. Electron., vol. 58, no. 5, pp. 1530-1544, May 2011.
19. S. Nandi, T. C. Ilamparithi, S. B. Lee, and D. Hyun, "Detection of eccentricity faults in induction machines based on nameplate parameters," IEEE Trans. Ind. Electron., vol. 58, no. 5, pp. 1673-1683, May 2011.
20. A. Ceban, R. Pusca, and R. Romary, "Study of rotor faults in induction motors using external magnetic field analysis," IEEE Trans. Ind. Electron., vol. 59, no. 5, pp. 2082-2093, May 2012.
21. A. Yazidi, H. Henao, G.-A. Capolino, F. Betin, and F. Filippetti, "A webbased remote laboratory for monitoring and diagnosis of AC electrical machines," IEEE Trans. Ind. Electron., vol. 58, no. 10, pp. 4950-4959, Oct. 2011.
22. A. Jain and D. Zongker, "Feature selection: Evaluation, application, and small-sample performance," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 2, pp. 153-1158, Feb. 1997.
23. M. Kudo and J. Sklansky, "Comparison of algorithms that select features for pattern classifiers," Pattern Recognit., vol. 33, no. 1, pp. 25-41, Jan. 2000. (Pubitemid 32081876)
24. R. Casimir, E. Boutleux, G. Clerc, and A. Yahoui, "The use of features selection and nearest neighbors rule for faults diagnostic in induction motors," Eng. Appl. Artif. Intell., vol. 19, no. 2, pp. 169-177, Mar. 2006. (Pubitemid 43124070)
25. M. E. Hellman, "The nearest neighbor classification rule with a reject option," IEEE Trans. Syst. Sci. Cybern., vol. SSC-6, no. 3, pp. 179-185, Jul. 2007.
26. M. Roytgarts, "Method of shorted turn monitoring in the turbogenerator rotor winding," in Proc. Int. Conf. WSEAS/IASME, Tenerife, Spain, Dec. 2005, pp. 468-473.
27. O. Ondel, E. Boutleux, G. Clerc, and E. Blanco, "FDI based on pattern recognition using Kalman prediction: Application to an induction machine," Eng. Appl. Artif. Intell., vol. 21, no. 7, pp. 961-973, Oct. 2008.
28. N.-T. Nguyen and H.-H. Lee, "Induction motor fault diagnosis based on the k-NN and optimal feature selection," Int. J. Electron., vol. 97, no. 9, pp. 1071-1081, Sep. 2010.
29. B. Li, M.-Y. Chow, Y. Tipsuwan, and J. C. Hung, "Neural-network- based motor rolling bearing fault diagnosis," IEEE Trans. Ind. Electron., vol. 47, no. 5, pp. 1060-1069, Oct. 2000.
30. M. Biet and A. Bijeire, "Rotor faults diagnosis in synchronous generators using feature selection and nearest neighbors rule," in Proc. IEEE SDEMPED Conf., Bolognia, Italy, Sep. 5-8, 2011, pp. 300-306.
31. F. Fahimi, D. Brown, and M. Khalid, "Feature set evaluation and fusion for motor fault diagnosis," in Proc. ISIEA, Oct. 3-5, 2010, pp. 634-639.
32. O. Ondel, E. Boutleux, and G. Clerc, "A method to detect broken bars in induction machine using pattern recognition techniques," IEEE Trans. Ind. Electron., vol. 42, no. 4, pp. 916-923, Jul./Aug. 2006. (Pubitemid 44111469)
33. O. Ondel, E. Boutleux, E. Blanco, and G. Clerc, "Coupling pattern recognition with state estimation using Kalman filter for fault diagnosis," IEEE Trans. Ind. Electron., vol. 59, no. 11, pp. 4293-4300, Nov. 2012.