Fault diagnosis implementation of induction machines based on advanced digital signal processing techniques

Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC

Volumn , Issue , 2009, Pages 957-963

  Choi, Seung Deog ^a   Akin, Bilal ^b   Rahimian, Mina M ^a   Toliyat, Hamid A ^a  

^a Texas AandM University   (United States)

^b TEXAS INSTRUMENTS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADJUSTABLE SPEED DRIVES; COMMON FACTORS; CROSS CORRELATIONS; DIGITAL SIGNALS; DYNAMIC CHANGES; FAULT DIAGNOSIS; FAULT DIAGNOSTIC METHODS; FAULT MONITORING; FAULT SIGNATURE; INDUCTION MACHINES; MOTOR FAULT; OPERATING POINTS; REAL-TIME DSP;

MOTORS; POWER ELECTRONICS; SIGNAL PROCESSING; VARIABLE SPEED DRIVES;

FAULT DETECTION;

EID: 65949118490     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/APEC.2009.4802778     Document Type: Conference Paper

References (13)

1. J. Proakis, Digital communication, 4th ed
2. S.M. Kay. Fundamentals of Statistical Signal Processing: Estimation and detection Theory. Prentice-Hall, 1993.
3. A.J. Viterbi, Principles of Coherent Communication, McGraw-Hill New York, 1966.
4. M. Benbouzid, M. Vieira, and C. Theys, "Induction motors' faults detection and localization using stator current advanced signal processing techniques," IEEE Trans. on Power Electronics, Vol. 14, No. 1, pp. 14-22, Jan. 1999.
5. B. Akin, H.A. Toliyat, U. Orguner, and M. Rayner, "Phase Sensitive Detection of Motor Fault Signatures in the Presence of Noise," IEMDC '07, Vol. 2, pp. 1420-1426, May 2007. (Pubitemid 47554084)
6. B. Yazici and GB. Kliman, "An adaptive statistical time-frequency method for detection of broken bars and bearing faults in motors using stator current," IEEE Trans. on Industry Applications, Vol. 35, pp. 442-452, Mar. 1999.
7. S.H. Kia, H. Henao, and G. Capolino, "A high-resolution frequency estimation method for three-phase induction machine fault detection," IEEE Trans. on Industrial Electronics, Vol.54, No. 4, Aug. 2007. (Pubitemid 47296521)
8. A. Bellini, G. Franceschini, and C. Tassoni "Monitoring of induction machines by maximum covariance method for frequency tracking," IEEE Trans. on Industry Applications, Vol. 42, No. 1, pp. 69-78, Jan./Feb. 2006. (Pubitemid 43204769)
9. R.R. Obaid and T.G. Habetler, "Current-based algorithm for mechanical fault detection in induction motors with arbitrary load conditions," Industry application conference, Vol. 2, pp. 1347-1351, Oct. 2003.
10. S. Rajagopalan, T.G. Habetler, R.G Harley, J.A. Restrepo, and J.M. Aller, "Non-Stationary Motor Fault Detection Using Recent Quadratic Time-Frequency Representations," Industry Application conference, Vol. 5, pp. 2333-2339, Oct. 2006. (Pubitemid 47514930)
11. 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 Trans. on Energy Conversions, Vol. 3, pp. 873-879, Dec. 1988.
12. B. Akin, S.B. Ozturk, H.A. Toliyat, and M. Rayner, "On board Fault Diagnosis of HEV Induction Motor Drive at Start-up and during Idlemode," To appear in the IEEE Trans. on Vehicular Technology.
13. S. Nandi, H.A. Toliyat, and X. Li, "Condition Monitoring and Fault Diagnosis of Electrical Machines-A Review," IEEE Trans. on Energy Conversion, Vol. 20, No. 4, pp. 719-729, Dec. 2005.