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Fault diagnosis of electrical faults of three-phase induction motors using acoustic analysis.
- Source :
-
Bulletin of the Polish Academy of Sciences: Technical Sciences . 2024, Vol. 72 Issue 1, p1-7. 7p. - Publication Year :
- 2024
-
Abstract
- Fault diagnosis techniques of electrical motors can prevent unplanned downtime and loss of money, production, and health. Various parts of the induction motor can be diagnosed: rotor, stator, rolling bearings, fan, insulation damage, and shaft. Acoustic analysis is non-invasive. Acoustic sensors are low-cost. Changes in the acoustic signal are often observed for faults in induction motors. In this paper, the authors present a fault diagnosis technique for three-phase induction motors (TPIM) using acoustic analysis. The authors analyzed acoustic signals for three conditions of the TPIM: healthy TPIM, TPIM with two broken bars, and TPIM with a faulty ring of the squirrel cage. Acoustic analysis was performed using fast Fourier transform (FFT), a new feature extraction method called MoD-7 (maxima of differences between the conditions), and deep neural networks: GoogLeNet, and ResNet-50. The results of the analysis of acoustic signals were equal to 100% for the three analyzed conditions. The proposed technique is excellent for acoustic signals. The described technique can be used for electric motor fault diagnosis applications. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02397528
- Volume :
- 72
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Bulletin of the Polish Academy of Sciences: Technical Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 175707446
- Full Text :
- https://doi.org/10.24425/bpasts.2024.148440