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A novel approach for detecting broken rotor bar around rated rotating speed using frequency component and clustering
Author(s) -
Nakamura Hisahide,
Pandarakone Shrinathan Esakimuthu,
Mizuno Yukio
Publication year - 2016
Publication title -
ieej transactions on electrical and electronic engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.254
H-Index - 30
eISSN - 1931-4981
pISSN - 1931-4973
DOI - 10.1002/tee.22343
Subject(s) - rotor (electric) , bar (unit) , induction motor , cluster analysis , process (computing) , component (thermodynamics) , computer science , engineering , control theory (sociology) , artificial intelligence , mechanical engineering , voltage , electrical engineering , physics , control (management) , meteorology , thermodynamics , operating system
Induction motor plays an important part in many industrial processes. Detection of motor faults in the early stages improves process productivity, minimizes motor damage, and reduces repair costs. In this paper, a new method is proposed to detect broken rotor bars in a cage induction motor around the rated rotating speed. In this method, first, a frequency analysis is performed according to rotor bar's conditions and the characteristic frequency components are extracted. Further, a two‐step diagnosis method based on self‐organizing map, which is one of the classification methods, is proposed. Finally, the effectiveness of the proposed diagnosis method is verified by performing some experiments. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.