Hilbert Huang transform and pattern recognition to detect defects in induction motor
by Nassima Hamdad; Kamal Hammouche
International Journal of Modelling, Identification and Control (IJMIC), Vol. 29, No. 4, 2018

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.

Online publication date: Mon, 04-Jun-2018

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