Effective Electrical Fault Diagnosis Using Gabor Transform of Motor Input Current After Spectral Subtraction

In the present work, it is proposed to use stator current spectrum analysis by Gabor transform (GT) to identify electrical defects in induction motors. Current-based fault detection plays an important role in the proposed work as it overcomes the major pitfalls associated with other conventional sen...

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Bibliographic Details
Published in:Arabian journal for science and engineering (2011) 2024, Vol.49 (12), p.15935-15955
Main Authors: Kompella, K. C. Deekshit, Gayatri, M. T. L., Rayapudi, Srinivasa Rao, Rao, M. Venu Gopala
Format: Article
Language:English
Subjects:
Data acquisition
Electrical faults
Engineering
Fault detection
Fault diagnosis
Gabor transformation
Humanities and Social Sciences
Induction motors
Motor stators
multidisciplinary
Parameter estimation
Research Article-Electrical Engineering
Science
Spectrum analysis
Stators
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Summary:In the present work, it is proposed to use stator current spectrum analysis by Gabor transform (GT) to identify electrical defects in induction motors. Current-based fault detection plays an important role in the proposed work as it overcomes the major pitfalls associated with other conventional sensor-based monitoring. A Poly Phase Induction Motor (IM) of 2 HP, 415 ± 10 % V, 50 Hz is taken for online testing of proposed fault detection at variable speed regime. At varying load situations, the motor’s input current is gathered for various fault conditions. After performing frequency spectral subtraction, advanced GT offers signal processing on the collected stator current. The GT coefficients are used for further analysis to estimate and localize the fault. Fault indexing parameter (FIP) is proposed for fault severity estimation. The data acquisition is carried out in LabVIEW environment and processed by MATLAB programming.
ISSN:2193-567X
1319-8025
2191-4281
DOI:10.1007/s13369-024-08744-w