Title: Hilbert Huang transform and pattern recognition to detect defects in induction motor

Authors: Nassima Hamdad; Kamal Hammouche

Addresses: Department of Automatic, Mouloud Mammeri University, Tizi Ouzou 15000, Algeria ' Department of Automatic, Mouloud Mammeri University, Tizi Ouzou 15000, Algeria

Abstract: In this paper, a new time-frequency analysis technique called Hilbert Huang transform is applied to detect bars and ring defects in an induction motor. A pattern recognition method called support vector machine is used to classify the different operating modes of the motor (healthy and/or defective). The aim of this study is to improve the classification results obtained using the Fourier transform (as frequency analysis technique) and temporal signals.

Keywords: Hilbert Huang transform; HHT; empirical mode decomposition; EMD; intrinsic mode functions; IMF; Fourier transform; FT; fault diagnostic; support vector machine; SVM; induction motor; time frequency representation; TFR.

DOI: 10.1504/IJMIC.2018.092124

International Journal of Modelling, Identification and Control, 2018 Vol.29 No.4, pp.352 - 358

Received: 02 Jun 2016
Accepted: 16 May 2017

Published online: 17 May 2018 *

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