The Spectral Leakage Minimization of Spectrum for Motor Fault Analysis Using Adaptive Multi-Taper Method

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Abstract:

This paper proposes a new method of motor fault detection. Adaptive MTM is proposed as a key technique for motor fault analysis. Standard spectrum has always processed a time-signal into frequency domain with spectral leakage contamination. The leakage results important small harmonics to be invisible which makes the spectrum difficult to analyze the motor faults. The spectrum from the Adaptive MTM is introduced to minimize the leakages. The method is tested on 3 different motor conditions: healthy, stator fault, and rotor fault motor at full load condition. Based on several sets of the experiments, the spectrum from the adaptive MTM can show all the harmonics clearly which make the method more powerful for fault analysis.

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Periodical:

Advanced Materials Research (Volumes 591-593)

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1886-1889

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November 2012

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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[1] Nandi, S., Toliyat, H.A., Li, X., Condition Monitoring and Fault Diagnosis of Electrical Motors—A Review, Energy Conversion, IEEE Transactions 20(4), 2005, p.719 – 729.

DOI: 10.1109/tec.2005.847955

Google Scholar

[2] Miranda R.S.; Toliyat H.A.; Jacobina C.B.; Lima, A.M.N.; 'Short-Circuit Fault Mitigation in Six-Phase Induction Machine Drives', IEEE Vehicle Power and Propulsion Conference 2007 (VPPC 2007), 9-12 Sept. 2007, p.370 – 376

DOI: 10.1109/vppc.2007.4544154

Google Scholar

[3] Yazidi A.; Henao H.; Capolino G.-A.; 'Broken rotor bars fault detection in squirrel cage induction machines', 2005 IEEE International Conference on Electric Machines and Drives, 15-18 May 2005, p.741 – 747

DOI: 10.1109/iemdc.2005.195805

Google Scholar

[4] J. Treetrong, "Electric Motor Fault Analysis Based on Windowed-Zeropadded FFT", International Journal of Advanced Materials Research, Vols. 378-379 (2012) pp.553-556

DOI: 10.4028/www.scientific.net/amr.378-379.553

Google Scholar

[5] D. J. Thomson; "Spectrum Estimation and Harmonic Analysis", Proceedings of the IEEE, 70, 1982, p.1055–1096

Google Scholar