IBPSO-Based MUSIC Algorithm for Broken Rotor Bars Fault Detection of Induction Motors-Reference-Cited by-同舟云学术

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IBPSO-Based MUSIC Algorithm for Broken Rotor Bars Fault Detection of Induction Motors

Published:2018-09-21 Issue:1 Volume:31 Page:
ISSN:1000-9345
Container-title:Chinese Journal of Mechanical Engineering
language:en
Short-container-title:Chin. J. Mech. Eng.

Author:

Wang Pan-Pan,Chen Xiao-Xiao,Zhang Yong,Hu Yong-Jun,Miao Chang-Xin

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Mechanical Engineering

Link

http://link.springer.com/content/pdf/10.1186/s10033-018-0279-5.pdf

Reference29 articles.

1. M Seera, C P Lim, S Nahavandi, et al. Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models. Expert Systems with Applications, 2014, 41(10): 4891–4903.

2. M R Mehrjou, N Mariun, M H Marhaban, et al. Rotor fault condition monitoring techniques for squirrel-cage induction machine – A review. Mechanical Systems and Signal Processing, 2011, 25(8): 2827–2848.

3. S Bindu, V V Thomas. Diagnoses of internal faults of three phase squirrel cage induction motor – A review. Proceedings of the IEEE International Conference on Advances in Energy Conversion Technologies, Manipal, India, January 23–25, 2014: 48–54.

4. M O Mustafa, G Nikolakopoulos, T Gustafsson. Broken bars fault diagnosis based on uncertainty bounds violation for three-phase induction motors. International Transactions on Electrical Energy Systems, 2013, 25(2): 304–325.

5. I Culbert, W Rhodes. Using current signature analysis technology to reliably detect cage winding defects in squirrel-cage induction motors. IEEE Transactions on Industrial Applications, 2007, 43(2): 422–428.

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