Broken bars detection on induction motor using MCSA and mathematical morphology: An experimental study

Conference Record - IEEE Instrumentation and Measurement Technology Conference

Volumn , Issue , 2013, Pages 825-829

  Rangel Magdaleno, Jose ^a   Ramirez Cortes, Juan ^a   Peregrina Barreto, Hayde ^b  

^a INSTITUTO NACIONAL DE ASTROFÍSICA   (Mexico)

^b Pi CORE Department   (Mexico)

Author keywords

broken bar; induction motor; mathematical morphology; MCSA

Indexed keywords

BROKEN BAR; BROKEN BAR DETECTION; EARLY FAILURE DETECTION; MAIN FREQUENCY; MCSA; MOTOR CURRENT SIGNATURE ANALYSIS; PRODUCTION LINE; SPURIOUS FREQUENCY;

INDUCTION MOTORS; INSTRUMENTS; MATHEMATICAL MORPHOLOGY;

MEASUREMENTS;

EID: 84882267498     PISSN: 10915281     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/I2MTC.2013.6555530     Document Type: Conference Paper

References (18)

1. S. Toscani, M. Faifer, M. Rossi, L. Cristaldi, M. Lazzaroni, "Effects of the speed loop on the diagnosis of rotor faults in induction machines", IEEE Trans. Instrum. Meas, vol 61, pp. 2713-2722, Oct 2012.
2. 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 vey low slip", IEEE Trans. Energy Convers., vol. 24, pp. 52-59, March 2009.
3. J. Cusido, L. Romeral, A. Garcia, J. Ortega, and J. Riba, "On-line fault detection method for induction machines based on signal convolution", Euro. Trans. Electr. Power, vol. 21, pp. 475-488, 2011.
4. A. Jawadekar, M. Dhole, S. Paraskar, "Signal processing based wavelet approach for fault detection of induction motor", Int. J. Sci. Spirituality Bus. Technology, vol. 1, no. 1, pp. 70-75, March 2012.
5. 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., vol. 59, Aug 2010.
6. A. Garcia-Perez, R. Romero-Troncoso, E. Cabal-Yepez, R. Osornio.Rios, J. Rangel-Magdaleno, and H. Miranda, "Startup current analysis of incipient broken rotor bar in indutcion motors using high-resolution spectral analysis", IEEE Int. Symposium Diagnostics electric Machines power electronics & Drives, pp. 657-663, Italy, 2011.
7. Ordaz-Moreno A., Romero-Troncoso R.J., Vite-Frias J., Rivera-Guillen J.R., Garcia-Perez A., "Automatic online diagnosis algorithm for broken-bar detection on induction motors based on discrete wavelet transform for fpga implementation", IEEE Trans Indus Electronics., vol. 55, no. 5, pp. 2193-2202, 2008. (Pubitemid 351728770)
8. C. da Costa, M. Mathias, P. Ramos, and P. Silva, "A new approach for real time fault diagnosis in induction motors based on vibration measurement" IEEE Instrumentation and Measurement Technology Conference, pp. 1164-1168, USA, May. 2012
9. Contreras-Medina L., Romero-Troncoso R.J., Millan-Almaraz J.R., Rodriguez-Donate C., "FPGA based multiple-channel vibration analyzer embedded system for industrial applications in automatic failure detection", Industial Embedded Systems, Symposium on, Montpellier, France, pp. 229-232, June 2008
10. J. Rangel-Magdaleno, R. Romero-Troncoso, R. Osornio-Rios, E. Cabal-Yepez, and L. Contreas-Medina, "Novel methodology for online half-broken-bar detection on induction motors", IEEE Trans Instrum. Meas., vol. 58, pp. 1690-1698, May 2009.
11. Y. Gritli, A. Di Tommaso, F. Filippetti, R. Miceli, C. Rossi, and A. Chatti, "Investigation of motor current signature and vibration analysis for diagnosing rotor broken bars in double cage induction motors", Int. Symp. Power Electronics Elect. Drives Automation and Motion, pp. 1360-1365, Italy, June 2012.
12. B.M. Ebrahimi, J. Faiz and B. Akin, "Pattern recognition for broken bars fault diagnosis in induction motors under various supply conditions", Euro. Trans. Electr. Power, 2011, DOI: 10.1002/etep.640
13. M.R. Mehrjou, N. Mariun, M.H. Marhaban, N. Misron, "Rotor Fault condition monitoring techniques for squirrel-cage induction machine- A review", Mechanical Systems and Signal Processing, vol. 25, no. 8, pp. 2827-2848, Nov. 2011
14. M. Cabanas, F. Pedrayes, M. Melero, C. Rojas-Garcia, J. Cano, G. Orcajo and J. Gonzalez, "Unambiguous detection of broken bars in asynchronous motors by means of a flux measurement-based procedure", IEEE Trans. Instrum. Meas., vol. 60, pp. 891-899, March 2011.
15. J. Serra, Image analysis and mathematical morphology, New York:Academic Press, 1982.
16. P. Soille, Morphological image analysis: principles and applications, New York: Springer-Verlag, 2003.
17. T. Radil, P.M. Ramos, F.M. Janeiro, and A. Cruz-Serra, "PQ monitoring system for real-time detection and classification of disturbances in a single-phase power system", IEEE Trans. Instrum. Meas., vol. 57, pp. 1725-1733, Aug 2008.
18. M. Jing, X. Yan, W. Zengping, and L. Haofang, "A novel adaptive scheme of discrimination between internal faults and inrush currents of transformer using mathematical morphology", IEEE Power Engineering Society General Meeting, pp. 1-7, Jun 2006