Investigation of The Effects of Eccentricity on Induction Motor via Multi-Resolution Wavelet Analysis
| Autor: | Lale T. Ergene, Abdurrahman Yilmaz, Abdullah Polat |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Physics
Squirrel-cage rotor media_common.quotation_subject Fast Fourier transform Mühendislik Fault detection and isolation Vibration Wavelet Engineering Control theory Torque Induction motor eccentricity finite element method multi-resolution wavelet analysis diagnosis Electrical and Electronic Engineering Eccentricity (behavior) Induction motor media_common |
| Zdroj: | Volume: 18, Issue: 2 187-197 Electrica |
| ISSN: | 2619-9831 |
| Popis: | DOI: 10.5152/iujeee.2018.1821 Inthis paper, a 2.2 kW squirrel cage induction motor having different degrees ofstatic eccentricity is analyzed for fault detection using multi-resolutionwavelet analysis (MRWA). The reference squirrel cage induction motor wassimulated by using finite element method (FEM) and verified with the testresults for the reference. Multi-resolution wavelet analysis was applied todecompose the high frequency components of flux density and current of theinduction motor with different levels of eccenctricity. The effects of thesecomponents on the torque and vibration characteristics were also examined. Theresults show that MRWA could be a good alternative to fast fourier transform(FFT) in detecting air gap eccentricity in motors. DOI: 10.5152/iujeee.2018.1821 In this paper, a 2.2 kW squirrel cage induction motor having different degrees of static eccentricity is analyzed for fault detection using multi-resolution wavelet analysis (MRWA). The reference squirrel cage induction motor was simulated by using finite element method (FEM) and verified with the test results for the reference. Multi-resolution wavelet analysis was applied to decompose the high frequency components of flux density and current of the induction motor with different levels of eccenctricity. The effects of these components on the torque and vibration characteristics were also examined. The results show that MRWA could be a good alternative to fast fourier transform (FFT) in detecting air gap eccentricity in motors. |
| Databáze: | OpenAIRE |
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