APPLICATIONS OF WAVELETS IN INDUCTION MACHINE FAULT DETECTION
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad de Tarapacá
2010
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| _version_ | 1876430383672721408 |
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| author | Erick Schmitt |
| author_facet | Erick Schmitt |
| contents | APPLICATIONS OF WAVELETS IN INDUCTION MACHINE FAULT DETECTION Erick Schmitt Peter Idowu Aldo Morales Ingeniería Wavelets fault detection early detection induction machines fast Fourier transform This paper presents a new wavelet-based algorithm for three-phase induction machine fault detection. This new method uses the standard deviation of wavelet coefficients, obtained from n-level decomposition of each phase voltage and current, to identify single-phasing faults or unbalanced stator resistance faults in induction machines. The proposed algorithm can operate independent of the operational frequency, fault type and loading conditions. Results show that this algorithm has better detection response than the Fourier transform-based techniques. 2010 artículo científico 0718-3291 https://www.redalyc.org/articulo.oa?id=77216407002 en http://www.redalyc.org/revista.oa?id=772 Ingeniare. Revista Chilena de Ingeniería application/pdf Universidad de Tarapacá Ingeniare. Revista Chilena de Ingeniería (Chile) Num.2 Vol.18 |
| format | Artículo científico |
| id | redalyc_77216407002 |
| institution | Redalyc |
| language | en |
| publishDate | 2010 |
| publisher | Universidad de Tarapacá |
| spellingShingle | APPLICATIONS OF WAVELETS IN INDUCTION MACHINE FAULT DETECTION Erick Schmitt Ingeniería Wavelets fault detection early detection induction machines fast Fourier transform APPLICATIONS OF WAVELETS IN INDUCTION MACHINE FAULT DETECTION Erick Schmitt Peter Idowu Aldo Morales Ingeniería Wavelets fault detection early detection induction machines fast Fourier transform This paper presents a new wavelet-based algorithm for three-phase induction machine fault detection. This new method uses the standard deviation of wavelet coefficients, obtained from n-level decomposition of each phase voltage and current, to identify single-phasing faults or unbalanced stator resistance faults in induction machines. The proposed algorithm can operate independent of the operational frequency, fault type and loading conditions. Results show that this algorithm has better detection response than the Fourier transform-based techniques. 2010 artículo científico 0718-3291 https://www.redalyc.org/articulo.oa?id=77216407002 en http://www.redalyc.org/revista.oa?id=772 Ingeniare. Revista Chilena de Ingeniería application/pdf Universidad de Tarapacá Ingeniare. Revista Chilena de Ingeniería (Chile) Num.2 Vol.18 |
| title | APPLICATIONS OF WAVELETS IN INDUCTION MACHINE FAULT DETECTION |
| topic | Ingeniería Wavelets fault detection early detection induction machines fast Fourier transform |
| url | https://www.redalyc.org/articulo.oa?id=77216407002 |