Bearing fault detection using relative entropy of wavelet components and artificial neural networks

Proceedings - 2013 9th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, SDEMPED 2013

Volumn , Issue , 2013, Pages 538-543

  Schmitt, Helder L ^a   Silva, Lyvia R B ^a   Scalassara, Paulo R ^a   Goedtel, Alessandro ^a  

^a UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ   (Brazil)

Author keywords

Artificial neural networks; Bearing fault detection; Relative entropy; Wavelet packets

Indexed keywords

ELECTRIC MACHINERY; ENTROPY; FAULT DETECTION; NEURAL NETWORKS; POWER ELECTRONICS; WAVELET DECOMPOSITION;

BEARING FAULT DETECTION; DECOMPOSITION COMPONENTS; ELECTRICAL MACHINE; FREQUENCY COMPONENTS; MOTOR CURRENT SIGNALS; RELATIVE ENTROPY; WAVELET COMPONENTS; WAVELET PACKET;

ELECTRIC DRIVES;

EID: 84891072100     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/DEMPED.2013.6645767     Document Type: Conference Paper

References (21)

1. J. N. Brito and R. Pederiva, "Hy-nes-A hybrid neural expert system to diagnose problems in induction motors," in 17 th International Congress of Mechanical Engineering, Sao Paulo, 2003.
2. A. Bellini, F. Filippetti, C. Tassoni, and G.-A. Capolino, "Advances in diagnostic techniques for induction machines," IEEE Transactions on Industrial Electronics, vol. 55, no. 12, pp. 4109-4126, Dec. 2008.
3. A. Bonnett and C. Yung, "Increased efficiency versus increased reliability," IEEE Industry Applications Magazine, vol. 14, no. 1, pp. 29-36, Jan.-Feb. 2008.
4. P. Zhang, Y. Du, T. Habetler, and B. Lu, "A survey of condition monitoring and protection methods for medium-voltage induction motors," IEEE Transactions on Industry Applications, vol. 47, no. 1, pp. 34-16, Jan.-Feb. 2011.
5. C. Tang, Q. Miao, and M. Pecht, "Rolling element bearing fault detection: Combining energy operator demodulation and wavelet packet transform," in Prognostics and System Health Management Conference (PHM-Shenzhen), 2011, May 2011, pp. 1-6.
6. O. Seryasat, M. Aliyari Shoorehdeli, F. Honarvar, and A. Rahmani, "Multi-fault diagnosis of ball bearing using fft, wavelet energy entropy mean and root mean square (rms)," in 2010 IEEE International Conference on Systems Man and Cybernetics (SMC), Oct. 2010, pp. 4295-1299.
7. W. Zhou, T. Habetler, and R. Harley, "Stator current-based bearing fault detection techniques: A general review," in IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives, 2007. SDEMPED 2007., Sep. 2007, pp. 7-10.
8. N. Mehala and R. Dahiya, "A comparative study of fft, stft and wavelet techniques for induction machine fault diagnostic analysis," in Proceedings of the 7th WSEAS international conference on Computational intelligence, man-machine systems and cybernetics, ser. CIMMACS'08, 2008, pp. 203-208.
9. R. Sharifi and M. Ebrahimi, "Detection of stator winding faults in induction motors using three-phase current monitoring," ISA Transactions, vol. 50, no. 1, pp. 14-20, 2011.
10. L. Eren and M. Devaney, "Bearing damage detection via wavelet packet decomposition of the stator current," IEEE Transactions on Instrumentation and Measurement, vol. 53, no. 2, pp. 431-436, Apr. 2004.
11. P. Kankar, S. C. Sharma, and S. Harsha, "Rolling element bearing fault diagnosis using wavelet transform," Neurocomputing, vol. 74, no. 10, pp. 1638-1645, 2011.
12. P. R. Scalassara, C. D. Maciel, and J. C. Pereira, "Predictability analysis of voice signals," IEEE Engineering in Medicine and Biology Magazine, vol. 28, pp. 30-34, 2009.
13. P. Konar and P. Chattopadhyay, "Bearing fault detection of induction motor using wavelet and support vector machines (svms)," Applied Soft Computing, vol. 11, no. 6, pp. 4203-1211, 2011.
14. M. Devaney and L. Eren, "Detecting motor bearing faults," IEEE Instrumentation Measurement Magazine, vol. 7, no. 4, pp. 30-50, Dec. 2004.
15. P. S. R. Diniz, E. A. B. Silva, and S. L. Netto, Digital Signal Processing: System analysis and design. Cambridge: Cambridge Univ. Press, 2010.
16. R. C. Guido, J. F. W. Slaets, R. Koberle, L. O. B. Almeida, and J. C. Pereira, "A new technique to construct a wavelet transform matching a specified signal with applications to digital, real time, spike, and overlap pattern recognition," Digital Signal Processing, vol. 16, no. 1, pp. 24-14, 2006.
17. P. R. Scalassara, C. D. Maciel, J. C. Pereira, S. Oliveira, and D. Stewart, "Problems with nonparametric entropy estimation of voice signals," in Proceedings of the 20th International Congress on Mechanical Engineering, 2009, p. 1677.
18. S. Haykin, Neural Networks: Comprehensive Foundation. Prentice Hall, 1999.
19. T. Santos, A. Goedtel, S. Silva, and M. Suetake, "An ann strategy applied to induction motor speed estimator in closed-loop scalar control," in XXth International Conference on Electrical Machines (ICEM), 2012, Sep. 2012, pp. 844-850.
20. S. Mclnerny and Y. Dai, "Basic vibration signal processing for bearing fault detection," IEEE Transactions on Education, vol. 46, no. 1, pp. 149-156, Fev. 2003.
21. J. Silva and A. Cardoso, "Bearing failures diagnosis in three-phase induction motors by extended park's vector approach," in 31st Annual Conference of IEEE Industrial Electronics Society, 2005. IECON 2005., Nov. 2005, pp. 2591-2596.