An Empirical Demodulation for Electrical Fault Detection in Induction Motors

IEEE Transactions on Instrumentation and Measurement

Volumn 65, Issue 3, 2016, Pages 559-569

  Batista, Fabiano Bianchini ^a   Lamim Filho, Paulo Cezar Monteiro ^a   Pederiva, Robson ^b   Silva, Vinicius Augusto Diniz ^b  

^a FEDERAL UNIVERSITY OF SÃO JOÃO DEL REI   (Brazil)

^b UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

Demodulation; envelope detection; fault diagnosis; Hilbert transform (HT); induction motors; signal processing algorithms.

Indexed keywords

DEMODULATION; ELECTRIC FAULT LOCATION; FAILURE ANALYSIS; INDUCTION MOTORS; MATHEMATICAL TRANSFORMATIONS; OPTICAL VARIABLES MEASUREMENT; SPECTRUM ANALYSIS;

ELECTRICAL FAULT DETECTIONS; EMPIRICAL TECHNIQUES; ENVELOPE DETECTION; HILBERT TRANSFORM; METHOD OF ANALYSIS; SIGNAL DEMODULATION; SIGNAL PROCESSING ALGORITHMS; SIGNAL PROCESSING TECHNIQUE;

FAULT DETECTION;

EID: 84970912930     PISSN: 00189456     EISSN: None     Source Type: Journal    
DOI: 10.1109/TIM.2015.2509398     Document Type: Article

References (41)

1. N. Q. Hu, L. R. Xia, F. S. Gu, and G. J. Qin, "A novel transform demodulation algorithm for motor incipient fault detection," IEEE Trans. Instrum. Meas., vol. 60, no. 2, pp. 480-487, Feb. 2011.
2. S. Nandi, H. A. Toliyat, and X. Li, "Condition monitoring and fault diagnosis of electrical motors-A review," IEEE Trans. Energy Convers., vol. 20, no. 4, pp. 719-729, Dec. 2005.
3. S. P. Verma and A. Balan, "Determination of radial-forces in relation to noise and vibration problems of squirrel-cage induction motors," IEEE Trans. Energy Convers., vol. 9, no. 2, pp. 404-412, Jun. 1994.
4. Y. Qin, S. Qin, and Y. Mao, "Research on iterated Hilbert transform and its application in mechanical fault diagnosis," Mech. Syst. Signal Process., vol. 22, no. 8, pp. 1967-1980, Nov. 2008.
5. L. Hou and N. W. Bergmann, "Novel industrial wireless sensor networks for machine condition monitoring and fault diagnosis," IEEE Trans. Instrum. Meas., vol. 61, no. 10, pp. 2787-2798, Oct. 2012.
6. P. C. M. L. Filho, R. Pederiva, and J. N. Brito, "Detection of stator winding faults in induction machines using flux and vibration analysis," Mech. Syst. Signal Process., vol. 42, nos. 1-2, pp. 377-387, Jan. 2014.
7. C. G. Dias and I. E. Chabu, "Spectral analysis using a Hall effect sensor for diagnosing broken bars in large induction motors," IEEE Trans. Instrum. Meas., vol. 63, no. 12, pp. 2890-2902, Dec. 2014.
8. M. F. Cabanas et al., "Unambiguous detection of broken bars in asynchronous motors by means of a flux measurement-based procedure," IEEE Trans. Instrum. Meas., vol. 60, no. 3, pp. 891-899, Mar. 2011.
9. V. Climente-Alarcon, J. A. Antonino-Daviu, A. Haavisto, and A. Arkkio, "Particle filter-based estimation of instantaneous frequency for the diagnosis of electrical asymmetries in induction machines," IEEE Trans. Instrum. Meas., vol. 63, no. 10, pp. 2454-2463, Oct. 2014.
10. R. Valles-Novo, J. J. Rangel-Magdaleno, J. M. Ramirez-Cortes, H. Peregrina-Barreto, and R. Morales-Caporal, "Empirical mode decomposition analysis for broken-bar detection on squirrel cage induction motors," IEEE Trans. Instrum. Meas., vol. 64, no. 5, pp. 1118-1128, May 2015.
11. F. Ponci, A. Monti, L. Cristaldi, and M. Lazzaroni, "Diagnostic of a faulty induction motor drive via wavelet decomposition," IEEE Trans. Instrum. Meas., vol. 56, no. 6, pp. 2606-2615, Dec. 2007.
12. L. Cristaldi, M. Faifer, M. Lazzaroni, and S. Toscani, "An inverter-fed induction motor diagnostic tool based on time-domain current analysis," IEEE Trans. Instrum. Meas., vol. 58, no. 5, pp. 1454-1461, May 2009.
13. J. de Jesus Rangel-Magdaleno, H. Peregrina-Barreto, J. M. Ramirez-Cortes, P. Gomez-Gil, and R. Morales-Caporal, "FPGAbased broken bars detection on induction motors under different load using motor current signature analysis and mathematical morphology," IEEE Trans. Instrum. Meas., vol. 63, no. 5, pp. 1032-1040, May 2014.
14. P. Zhang, Y. Du, T. G. Habetler, and B. Lu, "A survey of condition monitoring and protection methods for medium-voltage induction motors," IEEE Trans. Ind. Appl., vol. 47, no. 1, pp. 34-46, Jan./Feb. 2011.
15. M. E. H. Benbouzid and G. B. Kliman, "What stator current processingbased technique to use for induction motor rotor faults diagnosis" IEEE Trans. Energy Convers., vol. 18, no. 2, pp. 238-244, Jun. 2003.
16. R. Puche-Panadero, M. Pineda-Sanchez, M. Riera-Guasp, J. Roger-Folch, E. Hurtado-Perez, and J. Perez-Cruz, "Improved resolution of the MCSA method via Hilbert transform, enabling the diagnosis of rotor asymmetries at very low slip," IEEE Trans. Energy Convers., vol. 24, no. 1, pp. 52-59, Mar. 2009.
17. A. Sadeghian, Z. Ye, and B. Wu, "Online detection of broken rotor bars in induction motors by wavelet packet decomposition and artificial neural networks," IEEE Trans. Instrum. Meas., vol. 58, no. 7, pp. 2253-2263, Jul. 2009.
18. F. F. Costa, L. A. L. de Almeida, S. R. Naidu, and E. R. Braga-Filho, "Improving the signal data acquisition in condition monitoring of electrical machines," IEEE Trans. Instrum. Meas., vol. 53, no. 4, pp. 1015-1019, Aug. 2004.
19. E. C. C. Lau and H. W. Ngan, "Detection of motor bearing outer raceway defect by wavelet packet transformed motor current signature analysis," IEEE Trans. Instrum. Meas., vol. 59, no. 10, pp. 2683-2690, Oct. 2010.
20. H. Henao, C. Demian, and G.-A. Capolino, "A frequency-domain detection of stator winding faults in induction machines using an external flux sensor," IEEE Trans. Ind. Electron., vol. 39, no. 5, pp. 1272-1279, Sep./Oct. 2003.
21. Y. Qin, "Multicomponent AM-FM demodulation based on energy separation and adaptive filtering," Mech. Syst. Signal Process., vol. 38, no. 2, pp. 440-459, Jul. 2013.
22. P. Maragos, J. F. Kaiser, and T. F. Quatieri, "On amplitude and frequency demodulation using energy operators," IEEE Trans. Signal Process., vol. 41, no. 4, pp. 1532-1550, Apr. 1993.
23. P. Maragos, J. F. Kaiser, and T. F. Quatieri, "Energy separation in signal modulations with application to speech analysis," IEEE Trans. Signal Process., vol. 41, no. 10, pp. 3024-3051, Oct. 1993.
24. A. C. Bovik, P. Maragos, and T. F. Quatieri, "AM-FM energy detection and separation in noise using multiband energy operators," IEEE Trans. Signal Process., vol. 41, no. 12, pp. 3245-3265, Dec. 1993.
25. A. Potamianos and P. Maragos, "A comparison of the energy operator and the Hilbert transform approach to signal and speech demodulation," Signal Process., vol. 37, no. 1, pp. 95-120, May 1994.
26. M. Feldman, "Hilbert transform in vibration analysis," Mech. Syst. Signal Process., vol. 25, no. 3, pp. 735-802, Apr. 2011.
27. S. L. Hahn, Hilbert Transforms in Signal Processing. Boston, MA, USA: Artech House, 1996.
28. B. Boashash, "Estimating and interpreting the instantaneous frequency of a signal. I. Fundamentals," Proc. IEEE, vol. 80, no. 4, pp. 520-538, Apr. 1992.
29. N. E. Huang et al., "The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis," Proc. R. Soc. Lond. A, Math. Phys. Sci., vol. 454, no. 1971, pp. 903-995, 1998.
30. Y. M. Zhong, S. R. Qin, and B. P. Tang, "Study on the theory of Hilbert-Huang transform," J. Vibrat. Shock, vol. 21, no. 4, pp. 13-17, 2002.
31. H. Liu, X. Wang, and C. Lu, "Rolling bearing fault diagnosis based on LCD-TEO and multifractal detrended fluctuation analysis," Mech. Syst. Signal Process., vols. 60-61, pp. 273-288, Aug. 2015.
32. Z. Wu and N. E. Huang, "Ensemble empirical mode decomposition: A noise-assisted data analysis method," Adv. Adapt. Data Anal., vol. 1, no. 1, pp. 1-41, Jan. 2009.
33. Y. Wang, Z. He, and Y. Zi, "A demodulation method based on improved local mean decomposition and its application in rub-impact fault diagnosis," Meas. Sci. Technol., vol. 20, no. 2, p. 025704, Jan. 2009.
34. J. Cheng, K. Zhang, and Y. Yang, "Ensemble local mean decomposition method based on noise-assisted analysis," Chin. J. Mech. Eng., vol. 47, no. 3, pp. 55-62, 2011.
35. J. Zheng, J. Cheng, and Y. Yang, "A rolling bearing fault diagnosis approach based on LCD and fuzzy entropy," Mech. Mach. Theory, vol. 70, pp. 441-453, Dec. 2013.
36. F. Gianfelici, G. Biagetti, P. Crippa, and C. Turchetti, "Multicomponent AM-FM representations: An asymptotically exact approach," IEEE Trans. Audio, Speech, Lang. Process., vol. 15, no. 3, pp. 823-837, Mar. 2007.
37. R. T. Rato, M. D. Ortigueira, and A. G. Batista, "On the HHT, its problems, and some solutions," Mech. Syst. Signal Process., vol. 22, no. 6, pp. 1374-1394, Aug. 2008.
38. S. Nandi, S. Ahmed, and H. A. Toliyat, "Detection of rotor slot and other eccentricity related harmonics in a three phase induction motor with different rotor cages," IEEE Trans. Energy Convers., vol. 16, no. 3, pp. 253-260, Sep. 2001.
39. R. J. Allemang, "The modal assurance criterion-Twenty years of use and abuse," Sound Vibrat., pp. 14-21, Aug. 2003.
40. G. M. Joksimovic and J. Penman, "The detection of inter-turn short circuits in the stator windings of operating motors," IEEE Trans. Ind. Electron., vol. 47, no. 5, pp. 1078-1084, Oct. 2000.
41. W. R. Finley, M. M. Hodowanec, and W. G. Holter, "An analytical approach to solving motor vibration problems," IEEE Trans. Ind. Appl., vol. 36, no. 5, pp. 1467-1480, Sep./Oct. 2000.