1. Detection of Localized Bearing Faults in Induction Machines by Spectral Kurtosis and Envelope Analysis of Stator Current.
- Author
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Leite, Valeria C. M. N., Borges da Silva, Jonas Guedes, Veloso, Giscard Francimeire Cintra, Borges da Silva, Luiz Eduardo, Lambert-Torres, Germano, Bonaldi, Erik Leandro, and de Oliveira, Levy Ely de Lacerda
- Subjects
BALL bearings ,FAULT indicators (Electricity) ,INDUCTION motors ,ALTERNATING current electric motors ,KURTOSIS ,SIGNAL processing - 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. [ABSTRACT FROM PUBLISHER]
- Published
- 2015
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