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.
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 *