Experimental diagnosis of broken rotor bars fault in induction machine based on Hilbert and discrete wavelet transforms

Experimental diagnosis of broken rotor bars fault in induction machine based on Hilbert and... In this paper, a diagnosis method based on Hilbert and discrete wavelet transform (DWT) for broken rotor bars in induction machine has been proposed. The method is based from using Hilbert transform (HT) to obtain the envelope for the stator current and processed via DWT. The main advantage of HT is the removal of the fundamental component to allow a clearer vision of the fault frequencies. The result by HDWT (HT and DWT) is more suitable for emergency signal analysis. This technique is effective for the stationary signal as well as non-stationary signal processing. The HDWT analysis was introduced to overcome the shortcomings of Fourier analysis. The performance of this approach is evaluated in simulation and experimental results. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The International Journal of Advanced Manufacturing Technology Springer Journals

Experimental diagnosis of broken rotor bars fault in induction machine based on Hilbert and discrete wavelet transforms

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Publisher
Springer London
Copyright
Copyright © 2017 by Springer-Verlag London Ltd., part of Springer Nature
Subject
Engineering; Industrial and Production Engineering; Media Management; Mechanical Engineering; Computer-Aided Engineering (CAD, CAE) and Design
ISSN
0268-3768
eISSN
1433-3015
D.O.I.
10.1007/s00170-017-1309-7
Publisher site
See Article on Publisher Site

Abstract

In this paper, a diagnosis method based on Hilbert and discrete wavelet transform (DWT) for broken rotor bars in induction machine has been proposed. The method is based from using Hilbert transform (HT) to obtain the envelope for the stator current and processed via DWT. The main advantage of HT is the removal of the fundamental component to allow a clearer vision of the fault frequencies. The result by HDWT (HT and DWT) is more suitable for emergency signal analysis. This technique is effective for the stationary signal as well as non-stationary signal processing. The HDWT analysis was introduced to overcome the shortcomings of Fourier analysis. The performance of this approach is evaluated in simulation and experimental results.

Journal

The International Journal of Advanced Manufacturing TechnologySpringer Journals

Published: Nov 10, 2017

References

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