Early detection of current faults in a squirrel cage motor using Discrete Wavelet Transform (DWT)
DOI:
https://doi.org/10.15837/ijccc.2025.3.6919Keywords:
Fault detection, Discrete Wavelet Transform, Induction motor, Squirrel cage rotor, Motor current signature analysis, Multispectral analysis, Rotor faultsAbstract
This paper presents a new method for early detection of broken rings and bars in induction motors operating in steady state. The approach uses multispectral analysis based on the Discrete Wavelet Transform (DWT) applied to stator current analysis. A comparison is made between the results obtained using Daubechies wavelets of levels 44 and 45 (db44 and db45). The method focuses on the energetic analysis of the high-level signal decomposition coefficients to detect the presence of left sideband components, which indicate rotor faults. The experimental results demonstrate the effectiveness of the method in distinguishing between healthy and faulty motor conditions, even under light load conditions where conventional techniques often struggle.
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