Investigation of vibration signatures for multiple fault diagnosis in variable frequency drives using complex wavelets

IEEE Transactions on Power Electronics

Volumn 29, Issue 2, 2014, Pages 936-945

  Seshadrinath, Jeevanand ^a   Singh, Bhim ^a   Panigrahi, Bijaya Ketan ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY DELHI   (India)

Author keywords

Analytical wavelets; bearing damage; fault diagnosis; gearbox; interturn fault; variable frequency drives

Indexed keywords

ANALYTICAL WAVELETS; BEARING DAMAGE; GEARBOX; INTER-TURN FAULT; VARIABLE FREQUENCY DRIVES;

DISCRETE WAVELET TRANSFORMS; DYNAMIC RESPONSE; ELECTRIC DRIVES; FAILURE ANALYSIS; FEATURE EXTRACTION; INDUCTION MOTORS; LOSSES; SUPPORT VECTOR MACHINES; VARIABLE SPEED DRIVES; WAVELET ANALYSIS;

ELECTRIC CONVERTERS;

EID: 84883296618     PISSN: 08858993     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPEL.2013.2257869     Document Type: Article

References (33)

1. S. M. A. Cruz and A. J. M. Cardoso, "Diagnosis of rotor faults in closedloop induction motor drives," in Proc. IEEE Ind. Appl. Conf., Oct. 2006, pp. 2346-2353. (Pubitemid 47514932)
2. S. M. A. Cruz, A. Stefani, F. Filippetti, and A. J. M. Cardoso, "A new model-based technique for the diagnosis of rotor faults in RFOC induction motor drives," IEEE Trans. Ind. Electron., vol. 55, no. 12, pp. 4218-4228, Dec. 2008.
3. M. Khan and M. A. Rahman, "Development and implementation of a novel fault diagnostic and protection technique for IPM motor drives," IEEE Trans. Ind. Electron., vol. 56, no. 1, pp. 85-92, Jan. 2009.
4. S. H. Kia, H. Henao, and G. A. Capolino, "Diagnosis of broken-bar fault in induction machines using discrete wavelet transform without slip estimation," IEEE Trans. Ind. Appl., vol. 45, no. 4, pp. 1395-1404, Jul./Aug. 2009.
5. H. Xianghui, T. G. Habetler, and R. G. Harley, "Detection of rotor eccentricity faults in a closed-loop drive-connected induction motor using an artificial neural network," IEEE Trans. Power Electron., vol. 22, no. 4, pp. 1552-1559, Jul. 2007. (Pubitemid 47098857)
6. 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.
7. L. Zhuang and M. J. Crocker, "A study of joint time-frequency analysisbased modal analysis," IEEE Trans. Instrum. Meas., vol. 55, no. 6, pp. 2335-2342, Dec. 2006. (Pubitemid 46438222)
8. H. Berriri, M. W. Naouar, and I. Slama-Belkhodja, "Easy and fast sensor fault detection and isolation algorithm for electrical drives," IEEE Trans. Power Electron., vol. 27, no. 2, pp. 490-499, Feb. 2012.
9. A. Sayed-Ahmed and N. A. O. Demerdash, "Fault-tolerant operation of delta-connected scalar-and vector-controlled ac motor drives," IEEE Trans. Power Electron., vol. 27, no. 6, pp. 3041-3049, Jun. 2012.
10. J. Urresty, J. Riba, and L. Romeral, "Diagnosis of interturn faults in PMSMs operating under nonstationary conditions by applying order tracking filtering," IEEE Trans. Power Electron., vol. 28, no. 1, pp. 507-515, Jan. 2013.
11. D. Casadei, F. Profumo, G. Serra, and A. Tani, "FOC and DTC: Two viable schemes for induction motors torque control," IEEE Trans Power Electron., vol. 17, no. 5, pp. 779-787, Sep. 2002. (Pubitemid 35241902)
12. L. Sang Bin, G. B. Kliman, M. R. Shah, W. T. Mall, N. K. Nair, and R. M. Lusted, "An advanced technique for detecting inter-laminar stator core faults in large electric machines," IEEE Trans. Ind. Appl., vol. 41, no. 5, pp. 1185-1193, Sep./Oct. 2005. (Pubitemid 41444636)
13. A. H. Bonnett and C. Yung, "Increased efficiency versus increased reliability," IEEE Ind. Appl. Magn., vol. 14, no. 1, pp. 29-36, Jan./Feb. 2008. (Pubitemid 351314194)
14. A. Bellini, F. Filippetti, C. Tassoni, and G. A. Capolino, "Advances in diagnostic techniques for inductionmachines," IEEE Trans. Ind. Electron., vol. 55, no. 12, pp. 4109-4126, Dec. 2008.
15. S. Cheng, P. Zhang, and T. G. Habetler, "An Impedance identification approach to sensitive detection and location of stator turn-to-turn faults in a closed-loop multiple-motor drive," IEEE Trans. Ind. Electron., vol. 58, no. 5, pp. 1545-1554, May 2011.
16. R. M. Tallam, T. G. Habetler, and R. G. Harley, "Continual on-line training of neural networks with applications to electric machine fault diagnostics," in Proc. IEEE Power Electron. Specialists Conf., 2001, pp. 2224-2228. (Pubitemid 32950551)
17. R. M. Tallam, T. G. Habetler, and R. G. Harley, "Stator winding turn-fault detection for closed-loop induction motor drives," IEEE Trans. Ind. Appl., vol. 39, no. 3, pp. 720-724, May/Jun. 2003.
18. S. M. A. Cruz and A. J. M. Cardoso, "Diagnosis of stator inter-turn short circuits in DTC induction motor drives," IEEE Trans. Ind. Appl., vol. 40, no. 5, pp. 1349-1360, Sep./Oct. 2004.
19. B. Akin, H. A. Toliyat, U. Orguner, and M. Rayner, "PWM inverter harmonics contributions to the inverter-fed induction machine bearing fault diagnosis," in Proc. IEEE Appl. Power Electron. Conf. (APEC),Mar. 2007, pp. 1393-1399.
20. M. Haji and H. A. Toliyat, "Pattern recognition-a technique for induction machines rotor broken bar detection," IEEE. Trans. Energy. Conv., vol. 16, no. 4, pp. 312-317, Dec. 2001. (Pubitemid 34035503)
21. N. Kingsbury, "Complex wavelets for shift invariant analysis and filtering of signals," Appl. Comput. Harmonic Anal., vol. 10, no. 3, pp. 234-253, 2001. (Pubitemid 33675919)
22. I. W. Selesnick, R. G. Baraniuk, and N. C. Kingsbury, "The dual-tree complex wavelet transform," IEEE Signal Process. Mag., vol. 22, no. 6, pp. 123-151, Nov. 2005. (Pubitemid 46404908)
23. G. B. Kliman and J. Stein, "Methods of motor current signature analysis," Elect. Mach. Power Syst., vol. 20, no. 5, pp. 463-474, 1992. (Pubitemid 23558253)
24. O. A. Mohammed, Z. Liu, S. Liu, and N. Y. Abed, "Internal short circuit fault diagnosis for PMmachines using FE-based phase variable model and wavelets analysis," IEEE. Trans. Magn., vol. 43, no. 4, pp. 1729-1732, Apr. 2007. (Pubitemid 46495573)
25. J. Cusido, L. Romeral, J. A. Ortega, J. A. Rosero, and A. Garcia Espinosa, "Fault detection in induction machines using power spectral density in wavelet decomposition," IEEE Trans. Ind. Electron., vol. 55, no. 2, pp. 633-643, Feb. 2008. (Pubitemid 351344237)
26. W. J. Wang and P. D. McFadden, "Application of wavelets to gearbox vibration signals for fault detection," J. Sound Vibration, vol. 192, no. 5, pp. 927-939, May 1996. (Pubitemid 126373737)
27. N. E. Huang, Z. Shen, S. R. Long, M. C. Wu, H. H. Shih, Q. Zheng, N.-C.Yen, C. C. Tung, andH. H. Liu, "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis," in Proc. Roy. Soc. Lond. Series A Math., Phys. Eng. Sci., 1998, vol. 454, no. 1971, pp. 903-995. (Pubitemid 128733183)
28. J. A. Rosero, L. Romeral, J. A. Ortega, and E. Rosero, "Short-circuit detection by means of empirical mode decomposition and wigner-ville distribution for PMSM running under dynamic condition," IEEE Trans. Ind. Electron., vol. 56, no. 11, pp. 4534-4547, Nov. 2009.
29. S. Hua and C. Kil To, "Induction machine condition monitoring using neural network modeling," IEEE Trans. Ind. Electron., vol. 54, no. 1, pp. 241-249, Feb. 2007.
30. R.-E. Fan, P.-H. Chen, and C.-J. Lin, "Working set selection using the second order information for training SVM," J. Mach. Learn. Res., vol. 6, pp. 1889-1918, 2005. (Pubitemid 41798130)
31. R. O. Duda, P. E. Hart, and D. G. Stork, Pattern Classification, 2nd ed. New York, USA: Wiley-Interscience, 2000.
32. G. Strang and T. Nguyen, Wavelets and Filter Banks. Wellesley, MA, USA: Wellesley-Cambridge Univ. Press, 1996.
33. M. N. Nguyen, B. Chunyu, T. Kar Leong, S. D. Teddy, and L. Xiao-Li, "Ensemble based real-time adaptive classification system for intelligent sensing machine diagnostics," IEEE Trans. Rel., vol. 61, no. 2, pp. 303-313, Jun. 2012.