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Broken Rotor Bar and Rotor Eccentricity Fault Detection in Induction Motors Using a Combination of Discrete Wavelet Transform and Teager–Kaiser Energy Operator.

Authors :
Agah, Gholam Reza
Rahideh, Akbar
Khodadadzadeh, Hosein
Khoshnazar, Seyed Moslehoddin
Hedayatikia, Shahin
Source :
IEEE Transactions on Energy Conversion; Sep2022, Vol. 37 Issue 3, p2199-2206, 8p
Publication Year :
2022

Abstract

In this paper, a hybrid approach is proposed to detect the broken rotor bar and rotor mixed eccentricity faults of three-phase squirrel cage induction motors based on one phase of the stator current signal. The hybrid method is based on a combination of discrete wavelet transform (DWT), Teager–Kaiser energy operator (TKEO) and power spectral density (PSD). At the first stage, DWT is applied on the stator current signal; then TKEO is applied on some of the DWT detail coefficients and finally PSD is used to extract the required feature to detect the aforementioned faults. The proposed method is tested on an experimental test-rig having a 1.5 kW induction motor under various load conditions and three different power supplies: 1) directly supplied by power grid; 2) supplied by a drive system based on scalar control technique; and 3) supplied by a drive system based on direct torque control (DTC) technique. The results show the efficacy of the proposed method in accurate detection of the broken rotor bar and rotor mixed eccentricity faults. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08858969
Volume :
37
Issue :
3
Database :
Complementary Index
Journal :
IEEE Transactions on Energy Conversion
Publication Type :
Academic Journal
Accession number :
158649896
Full Text :
https://doi.org/10.1109/TEC.2022.3162394