An improved algorithm for detection of rotor faults in squirrel cage induction motors based on a new fault indicator

Proceedings - 2012 20th International Conference on Electrical Machines, ICEM 2012

Volumn , Issue , 2012, Pages 1572-1578

  Sahraoui, M ^a   Zouzou, S E ^b   Ghoggal, A ^a   Guedidi, S ^b   Derghal, H ^c  

^a Universite Mentouri Constantine   (Algeria)

^b UNIVERSITY OF BISKRA   (Algeria)

^c UNIVERSITY OF BATNA   (Algeria)

Author keywords

Algorithm; Broken rotor bars; Diagnosis; Fault indicator; Induction motors

Indexed keywords

BROKEN ROTOR BAR; CALCULATION PROCESS; EXPERIMENTAL TEST; FAULT DETECTION ALGORITHM; FAULT INDICATORS; LOW LOAD; MOTOR CURRENT SIGNATURE ANALYSIS; MOTOR STATE; OPERATION CONDITIONS; ROTOR BARS; ROTOR FAULT; ROTOR FAULT DETECTION; SQUIRREL CAGE INDUCTION MOTOR; STATOR CURRENT SIGNAL;

ALGORITHMS; DATA ACQUISITION; DIAGNOSIS; ELECTRIC MACHINERY; HARMONIC ANALYSIS; INDUCTION MOTORS; PERSONAL COMPUTERS;

FAULT DETECTION;

EID: 84870808892     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICElMach.2012.6350088     Document Type: Conference Paper

References (10)

1. C. Bruzzese, "Analysis and Aplication of particular Current Signatures (Symptoms) for Cage monitoring in Nonsinusoidally Fed Motors With High Rejection to Drive Load, Inertia, and Frequency Variation," IEEE Trans. On Ind. Elect., vol.55, no.12, pp. 4137-4155, Dec. 2008.
2. T. J. Sobczyk and W. Maciolek, "Dose the Component (1-2s)f0 in Stator Currents is Sufficient for Detection of Rotor Cage Faults," in Proc. SDEMPED'05, pp., 2005.
3. J. H. Jung, J. J. Lee and B. H. Kwon, "Online Diagnosis of Induction Motors Using MCSA," IEEE Trans. On Ind. Elect., vol. 53, no. 6, pp. 1842-1852, Dec. 2006.
4. W. T. Thomson and M. Fenger, "Current Signature Analysis to Detect Induction Motor Faults," IEEE Ind. Appl. Mag., vol.7, no.4., pp. 26-34, Jul./Aug. 2001. (Pubitemid 32658373)
5. A. Bellini, F. Filippetti, C. Tassoni and G. A. Capolino, "Advances in Diagnostic Techniques for Induction Machines," IEEE Trans. On Ind. Elect., vol. 55, no. 12, pp. 4109-4126, Dec. 2008.
6. 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. On Ind. Appl. vol. 47, no. 1, pp. 34-46, Jan/Feb 2011.
7. F. Filippetti, G. Franceschini, C. Tassoni and P. Vas "AI Techniques in Induction Machines Diagnosis Including the Speed Ripple Effect," IEEE Trans. On Ind. Appl. vol. 34, no. 1, Jan/Feb 1998.
8. G.R. Bossio, C. H. De Angelo, "Evaluation of Harmonic Current Sidebands for Broken Bar Diagnosis," in Proc. SDEMPED'09, pp.1-6, 2009.
9. S. Choi, B. Akin, M. M. Rahimian and H. A. Toliyat, "Implementation of a Fault-Diagnosis Algorithm for Induction Machines Based on Advanced Digital-Signal-Processing Techniques," IEEE Transactions on Industrial Electronics, vol,58, pp.937-948, 2011.
10. I. Aydin, M. Karakose, E. Akin, "A New Method for Early Fault Detection and Diagnosis of Broken Rotor Bars, Energy Conversion and Management," vol.52, pp. 1790-1799, 2011.