DocumentCode :
16445
Title :
Evaluation of the Influence of Rotor Magnetic Anisotropy on Condition Monitoring of Two-Pole Induction Motors
Author :
Sungsik Shin ; Jongwan Kim ; Sang Bin Lee ; Chaewoong Lim ; Wiedenbrug, Ernesto J.
Author_Institution :
Dept. of Electr. Eng., Korea Univ., Seoul, South Korea
Volume :
51
Issue :
4
fYear :
2015
fDate :
July-Aug. 2015
Firstpage :
2896
Lastpage :
2904
Abstract :
If nongrain-oriented rotor laminations are punched and stacked in a uniform direction, magnetic asymmetry is present in the rotor core due to the nonideal magnetic anisotropy. In this paper, it is shown that the influence of rotor core anisotropy can be misinterpreted as rotor faults in two-pole induction motors when performing motor current signature analysis. A detailed analysis of the influence of rotor core anisotropy shows that components produced by the rotor fault and rotor anisotropy interact, making reliable fault detection difficult. It is also shown that offline testing is currently the only available means of detecting the fault, and online monitoring of the space harmonics-induced current components is proposed as a viable solution for providing reliable rotor fault detection for two-pole motors with rotor anisotropy. The analysis and conclusions presented in this paper are verified through testing on custom-built lab motors and on 3.3-kV motors.
Keywords :
condition monitoring; induction motors; magnetic anisotropy; rotors; condition monitoring; lab motors; motor current signature analysis; nongrain-oriented rotor laminations; nonideal magnetic anisotropy; online monitoring; rotor anisotropy; rotor core anisotropy; rotor fault detection; rotor faults; rotor magnetic anisotropy; space harmonics-induced current components; two-pole induction motors; two-pole motors; voltage 3.3 kV; Anisotropic magnetoresistance; Induction motors; Magnetic cores; Magnetic flux; Perpendicular magnetic anisotropy; Rotors; AC machines; Motor Current Signature Analysis (MCSA); false alarm; fault diagnosis; frequency domain analysis; frequency-domain analysis; induction motors; motor current signature analysis (MCSA); predictive maintenance; rotor fault;
fLanguage :
English
Journal_Title :
Industry Applications, IEEE Transactions on
Publisher :
ieee
ISSN :
0093-9994
Type :
jour
DOI :
10.1109/TIA.2015.2391432
Filename :
7008513
Link To Document :
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