Journal
IEEE TRANSACTIONS ON ENERGY CONVERSION
Volume 28, Issue 1, Pages 225-233Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEC.2012.2236557
Keywords
Broken rotor bar; detection; estimation of signal parameters via rotational invariance technique (ESPRIT); Hilbert transform (HT); induction motor
Funding
- National Natural Science Foundation of China [51277077]
- Fundamental Research Funds for the Central Universities of China [11QG55]
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The traditional Hilbert method to detect broken rotor bar fault in induction motors is reviewed and its major drawbacks are clearly revealed, namely, deteriorating or even completely failing when a motor operating at low slip due to the fixed constraints of fast Fourier transform (FFT) is used in this method. To overcome this, the estimation of signal parameters via rotational invariance technique (ESPRIT) is then introduced to replace FFT, and an improved Hilbert method is thus presented by conjugating the Hilbert transform and ESPRIT together. Experimental results of a small motor in a laboratory and a large motor operating on an industrial site are reported to demonstrate the effectiveness of the improved Hilbert method.
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