Name
Title | ||
|---|---|---|
Detection of Localized Bearing Faults in Induction Machines by Spectral Kurtosis and Envelope Analysis of Stator Current |
Abstract | ||
|---|---|---|
Early detection of faults in electrical machines, particularly in induction motors, has become necessary and critical in reducing costs by avoiding unexpected and unnecessary maintenance and outages in industrial applications. Additionally, most of these faults are due to problems in bearings. Thus, in this paper, experimental bearing fault detection of a three-phase induction motor is performed by analyzing the squared envelope spectrum of the stator current. Spectral kurtosis-based algorithms, namely, the fast kurtogram and the wavelet kurtogram, are also applied to improve the envelope analysis. Experimental tests are performed, considering outer bearing faults at different stages, and the results are promising. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TIE.2014.2345330 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
induction motors,three phase induction motor,algorithm design and analysis,signal processing,ball bearings,kurtosis,fault detection,vibrations | Induction motor,Algorithm design,Fault detection and isolation,Control theory,Control engineering,Electronic engineering,Bearing (mechanical),Engineering,Vibration,Stator,Kurtosis,Wavelet | Journal |
Volume | Issue | ISSN |
62 | 3 | 0278-0046 |
Citations | PageRank | References |
22 | 1.10 | 22 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Valeria C. M. N. Leite | 1 | 22 | 1.10 |
| Jonas Guedes Borges da Silva | 2 | 27 | 3.21 |
| Giscard Francimeire Cintra Veloso | 3 | 23 | 1.47 |
| Luiz Eduardo Borges da Silva | 4 | 32 | 6.80 |
| Germano Lambert-torres | 5 | 59 | 19.17 |
| Erik Leandro Bonaldi | 6 | 26 | 1.83 |
| Levy Ely de Lacerda de Oliveira | 7 | 22 | 1.10 |