Diagnosis of induction machines under transient conditions through the instantaneous frequency of the fault components

19th International Conference on Electrical Machines, ICEM 2010

Volumn , Issue , 2010, Pages

  Pineda Sanchez, M ^a   Riera Guasp, M ^a   Pons Llinares, J ^a   Climente Alarcon V ^a   Perez Cruz, J ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Analytical signal; Continuous wavelet transform; Fault diagnosis; Frequency estimation; Hilbert transforms; Induction motors; Time frequency analysis; Wigner ville distributions

Indexed keywords

ANALYTICAL SIGNALS; CONTINUOUS WAVELET TRANSFORM; FAULT DIAGNOSIS; HILBERT TRANSFORM; TIME FREQUENCY ANALYSIS; WIGNER-VILLE DISTRIBUTION;

DIAGNOSIS; ELECTRIC FREQUENCY MEASUREMENT; ELECTRIC MACHINERY; ESTIMATION; INDUCTION MOTORS; MATHEMATICAL TRANSFORMATIONS; STATORS; WAVELET TRANSFORMS;

FREQUENCY ESTIMATION;

EID: 78649564342     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICELMACH.2010.5608001     Document Type: Conference Paper

References (30)

1. Z. Zhengping, R. Zhen, and H. Wenying, "A novel detection method of motor broken rotor bars based on wavelet ridge," IEEE Transactions on Energy Conversion, vol. 18, pp. 417-423, 2003.
2. H. Douglas, P. Pillay, and A. K. Ziarani, "Broken rotor bar detection in induction machines with transient operating speeds," IEEE Transactions on Energy Conversion, vol. 20, pp. 135-141, 2005.
3. R. Supangat, N. Ertugrul, W. L. Soong, D. A. Gray, C. Hansen, and J.Grieger, "Detection of broken rotor bars in induction motor using starting-current analysis and effects of loading," IEE Proceedings Electric Power Applications, vol. 153, pp. 848-855, 2006. (Pubitemid 44598222)
4. S. Rajagopalan, J. M. Aller, J. A. Restrepo, T. G. Habetler, and R. G. Harley, "Detection of Rotor Faults in Brushless DC Motors Operating Under Nonstationary Conditions," IEEE Transactions on Industry Applications, vol. 42, pp. 1464-1477, 2006.
5. F. Briz, M. W. Degner, P. Garcia, and D. Bragado, "Broken Rotor Bar Detection in Line-Fed Induction Machines Using Complex Wavelet Analysis of Startup Transients," IEEE Transactions on Industry Applications, vol. 44, pp. 760-768, 2008.
6. M.Riera-Guasp, J.A. Antonino Daviu, P.-S. M., R. Puche-Panadero, and J.Pérez-Cruz, "A general approach for the transient detection of slip dependant fault components based on the Discrete Wavelet Transform,"IEEE Transactions on Industrial Electronics, VOL. 55, NO. 12, pp. 4167-4180-2008
7. M. Riera-Guasp, J. Antonino-Daviu, J. Rusek,1, J. Roger- Folch"Dagnosis of rotor asymmetries in induction motors based on the transient extraction of fault components using filtering techniques" Electric Power Systems Research, 79 (2009) pp.1181-1191
8. G. B. Kliman, R. A. Koegl, J. Stein, R. D. Endicott, and M. W. Madden, "Noninvasive detection of broken rotor bars in operating induction motors," IEEE Transactions on Energy Conversion, vol. 3, pp. 873-879,1988.
9. A. Bellini, F. Filippetti, G. Franceschini, C. Tassoni, and G. B. Kliman,"Quantitative evaluation of induction motor broken bars by means of electrical signature analysis," IEEE Transactions on Industry Applications, vol. 37, pp. 1248-1255.2001
10. Nandi S, Toliyat HA. Condition monitoring and fault diagnosis of electrical motors - a review. IEEE Trans Energy Convers 2005;20(4):719-29. (Pubitemid 41830047)
11. L. Frosini and E. Bassi, "Stator Current and Motor Efficiency as Indicators for Different Types of Bearing Faults in Induction Motors," IEEE Trans. Ind. Electron., vol. 57, pp. 244-251, 2010.
12. B. Yazici and G. B. Kliman, "An adaptive statistical time-frequency method for detection of broken bars and bearing faults in motors usingc stator current," IEEE Transactions on Industry Applications, vol. 35, pp.442-452, 1999.
13. R. Burnett, J. F. Watson, and S. Elder, "The application of modern signal processing techniques for use in rotor fault detection and location within three-phase induction motors," Signal Processing, vol. 49, pp. 57-70,1996.
14. 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 Transactions on Industrial Electronics, vol. 55, pp. 633-643, 2008.
15. M. Pineda-Sanchez, M. Riera-Guasp, J. A. Antonino-Daviu, J. Roger-Folch, J. Perez-Cruz, and R. Puche-Panadero, "Instantaneous Frequency of the Left Sideband Harmonic During the Start-Up Transient: A New Method for Diagnosis of Broken Bars," IEEE Trans. Ind. Electron., vol. 56, pp. 4557-4570, 2009.
16. J. Antonino-Daviu, , P. Jover Rodriguez, M. Riera-Guasp, A. Arkkio, J. Roger-Folch R.B. Pérez ,̈ Transient detection of eccentricity-related components in induction motors through the Hilbert - Huang Transform" Energy Conversion and Management 50 (2009) 1810-1820
17. Jose A. Antonino-Daviu, M. Riera-Guasp, M. Pineda-Sanchez, and Rafael B. Pérez, "A Critical Comparison Between DWT and Hilbert-Huang-Based Methods for the Diagnosis of Rotor Bar Failures in Induction Machines" IEEE transactions on industry applications, vol. 45, no. 5, september/october 2009
18. E. G. Strangas, S. Aviyente, and S. S. H. Zaidi, "Time-Frequency Analysis for Efficient Fault Diagnosis and Failure Prognosis for Interior Permanent-Magnet AC Motors," IEEE Trans. Ind. Electron., vol. 55, pp. 4191-4199, 2008.
19. 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, pp. 4534-4547, 2009.
20. M. Blodt, D. Bonacci, J. Regnier, M. Chabert, and J. Faucher, "On-Line Monitoring of Mechanical Faults in Variable-Speed Induction Motor Drives Using the Wigner Distribution," IEEE Trans. Ind. Electron., vol. 55, pp. 522-533, 2008.
21. A. Lebaroud and G. Clerc, "Classification of Induction Machine Faults by Optimal Time-Frequency Representations," IEEE Trans. Ind. Electron., vol. 55, pp. 4290-4298, 2008.
22. M. Pineda-Sanchez, M. Riera-Guasp, J. A. Antonino-Daviu, J. Roger-Folch, J. Perez-Cruz, and R. Puche-Panadero, "Diagnosis of Induction Motor Faults in the Fractional Fourier Domain," IEEE Trans. Instrum. Meas., Accepted for future publication, Digital Object Identifier 10.1109/TIM.2009.2031835.
23. B. Boashash, "Estimating and interpreting the instantaneous frequency of asignal. I. Fundamentals," Proceedings of the IEEE, vol. 80, pp. 520-538, 1992.
24. P. J. Loughlin and B. Tacer, "Comments on the interpretation of instantaneous frequency," IEEE Signal Processing Letters, vol. 4, pp. 123-125, 1997.
25. N. Wonchul and P. J. Loughlin, "When is instantaneous frequency the average frequency at each time?," IEEE Signal Processing Letters, vol. 6, pp. 78-80, 1999.
26. T. Kijewski-Correa and A. Kareem, "Nonlinear Signal Analysis: Time-Frequency Perspectives," Journal of Engineering Mechanics, vol. 133, p. 238, 2007.
27. B. Boashash, "Estimating and interpreting the instantaneous frequency of a signal. II. Algorithms and application," Proceedings of the IEEE, vol. 80, pp. 539-568, 1992.
28. M. Riera-Guasp, J. A. Antonino-Daviu, J. Roger-Folch, and M. P. Molina Palomares, "The Use of the Wavelet Approximation Signal as a Tool for the Diagnosis of Rotor Bar Failures," IEEE Transactions on IndustryApplications, vol. 44, pp. 716-726, 2008.
29. F. Hlawatsch and G. F. Boudreaux-Bartels, "Linear and quadratic time-frequency signal representations," IEEE Signal Processing Magazine, vol. 9, pp. 21-67, 1992.
30. S. Mallat, A Wavelet Tour of Signal Processing. San Diego: Academic Press, 1999.