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http://dx.doi.org/10.5916/jkosme.2010.34.8.1115

Comparison of Fault Detection Methods for the BLDC Motor Using the Current Sensor  

Lee, Jae-Hyun (한국해양대학교 기관시스템공학부)
Publication Information
Journal of Advanced Marine Engineering and Technology / v.34, no.8, 2010 , pp. 1115-1127 More about this Journal
Abstract
Several methods have been applied to detect winding faults (turn-to-turn short). The representative approaches have been focusing on current signals. The current signal can give important information to extract features and to detect faults. In this study, current sensors were installed to measure signals for fault detection of BLDC motors. Therefore, it is necessary to select proper feature extraction methods among the popular methods that use current signals.
Keywords
Envelope method; Fourier transform; Wavelet transform; BLDC motor; Extract fault;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 P. Vas, Parameter Estimation, Condition Monitoring, and Diagnosis of Electrical Machines, Clarendron Press, Oxford, 1993.
2 K. Abbaszadeh, J. Milimonfared, M. Haji, and H. A. Toliyat, "Broken bar detection in induction motor via Wavelet transformation," IECON'01: The 27th Annual Conference of the IEEE Industrial Electronics Society, pp. 95-99, 2001.
3 S. G. Tzafestas (Ed.), Applications of Intelligent Control to Engineering Systems: Chapter 4 Particle Filter Based Anomaly Detection for Aircraft Actuator Systems. Springer, vol. 39, pp. 65-88, 2009.
4 Hamid Nejjari and Mohamed El Hachemi Benbouzid, "Monitoring and diagnosis of induction motors electrical faults using a current Park's vector pattern learning approach", IEEE Transactions on Industry Applications, vol. 36, no. 3, pp. 730-735, 2000   DOI   ScienceOn
5 Hyeon Bae, Sung-Shin Kim, George Vachtsevanos, "Fault detection and diagnosis of winding short in BLDC motors based on fuzzy similarity," International Journal of Fuzzy Logic and Intelligent systems, vol. 9, no. 2, pp. 99-104, July 2009.   과학기술학회마을   DOI   ScienceOn
6 M. Haji and H. A. Toliyat, "Pattern recognition-A technique for induction machines rotor fault detection eccentricity and broken bar fault," Conference Record of the 2001 IEEE Industry Applications Conference, vol. 3, pp. 1572-1578, 2001.
7 S. Nandi, H. A. Toliyat, "Condition monitoring and fault diagnosis of electrical machines - A review," IEEE Industry Applications Conference, vol. 1, pp. 197-204, 1999.
8 B. Yazici, G. B. Kliman, "An adaptive statistical time-frequency method for detection of broken bars and bearing faults in motors using stator current," IEEE Trans. on Industry Application, vol. 35, no. 2, pp. 442-452, 1999.   DOI   ScienceOn
9 G. B. Kliman and J. Stein, "Induction motor fault detection via passive current monitoring," International Conference in Electrical Machines, Cambridge, MA, pp. 13-17, August 1990.
10 Y. E. Zhongming and W. U. Bin, "A review on induction motor online fault diagnosis," The Third International Power Electronics and Motion Control Conference (PIEMC 2000), vol. 3, pp. 1353-1358, Aug. 15-18, 2000