Analysis of the Correlation Between Vibrations and the Number of Shorted Turns in the Stator Winding of a Squirrel-Cage Induction Motor

This paper presents a method for diagnosing a squirrel cage induction machine based on machine vibration analysis. The study focuses on the consideration of a winding fault in the stator winding of an induction machine. The case of a winding fault in one phase was considered. The machine vibration signal was recorded at a constant load torque. Wavelet packet decomposition was used to analyse the recorded vibration signals. The results of the wavelet analysis were correlated with the number of shorted windings. The result was a method for detecting faults in an electrical circuit using the vibration signal.

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Publication Details

Published
2025-05-14
DOI
https://doi.org/10.18690/um.feri.4.2025.34
Primary Topic
Machine Fault Diagnosis Techniques
Type
article
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article

Analysis of the Correlation Between Vibrations and the Number of Shorted Turns in the Stator Winding of a Squirrel-Cage Induction Motor

Konrad Górny, Wojciech Pietrowski, Mikołaj Marczak
Machine Fault Diagnosis Techniques
article

Analysis of the Correlation Between Vibrations and the Number of Shorted Turns in the Stator Winding of a Squirrel-Cage Induction Motor

Konrad Górny, Wojciech Pietrowski, Mikołaj Marczak
article en

Abstract

This paper presents a method for diagnosing a squirrel cage induction machine based on machine vibration analysis. The study focuses on the consideration of a winding fault in the stator winding of an induction machine. The case of a winding fault in one phase was considered. The machine vibration signal was recorded at a constant load torque. Wavelet packet decomposition was used to analyse the recorded vibration signals. The results of the wavelet analysis were correlated with the number of shorted windings. The result was a method for detecting faults in an electrical circuit using the vibration signal.

Poznań University of Technology (PL)
Openalex Percentile: Top 89%
Machine Fault Diagnosis Techniques
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