WSEAS Transactions on Systems and Control
Print ISSN: 1991-8763, E-ISSN: 2224-2856
Volume 10, 2015
A Comparative Study between the FFT and DWT Method Applied to a Bearing Fault in Induction Motors – Results Dedicated to the Industry –
Authors: , , ,
Abstract: The diagnosis of rotating machines by signals analysis has evolved considerably in recent years thanks to advanced signal processing techniques. The bearing faults have an important percentage by comparison with the stator or rotor faults in induction machines. The method used to detect this defect is based on accurate and clear information at any time. In addition to that, many works have dealt with the diagnosis by several techniques. Our work will deal with two approach signals that are used for bearing fault diagnosis: 1- The first is based on the fast Fourier transform (FFT), by using the spectral analysis of the stator current. The accuracy of this method depends on the following conditions: invariable load and constant speed. 2- The second method is based on the discrete wavelet transform (DWT), which is regarded as a tool for analyzing the variable signals. These two approaches are applied to the experimental results, through an analysis of the stator current, only to find a clear defect and accurate information.
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Keywords: Bearing defect, Discrete wavelet transform (DWT), Fault diagnosis, Induction motors, Inner raceway, Outer raceway, Spectral analyses (FFT)
Pages: 616-623
WSEAS Transactions on Systems and Control, ISSN / E-ISSN: 1991-8763 / 2224-2856, Volume 10, 2015, Art. #67