Title: Diagnosis of bearing defects by variational modes decomposition from vibratory and acoustic emission measurements

Authors: Djamal Zarour; Marc Thomas; Salim Meziani

Addresses: Laboratoire de Mécanique, Université des Frères Mentouri, Constantine 1, 25000, Constantine, Algeria; Department of Mechanical Engineering, Ecole de Technologie Supérieur, 1100, Notre-Dame street West, Montreal, H3C 1K3, Quebec, Canada ' Laboratoire de Mécanique, Université des Frères Mentouri, Constantine 1, 25000, Constantine, Algeria; Department of Mechanical Engineering, Ecole de Technologie Supérieur, 1100, Notre-Dame street West, Montreal, H3C 1K3, Quebec, Canada ' Laboratoire de Mécanique, Université des Frères Mentouri, Constantine 1, 25000, Constantine, Algeria; Department of Mechanical Engineering, Ecole de Technologie Supérieur, 1100, Notre-Dame street West, Montreal, H3C 1K3, Quebec, Canada

Abstract: In order to improve the diagnosis of bearing defects, a new method called variational mode decomposition (VMD) is proposed. This research shows an experimental application for the detection of bearing defects at two stages of degradation: at the early stage and at an advanced stage. In this work, a comparative experimental study between vibratory and acoustic emission measurements, analysed by VMD, is carried out. However, the application of this method requires determining the number of significant frequencies (K) and a balancing parameter (α). For this purpose, the operational modal analysis (OMA) and a correlation study are used to determine the required parameters K and α. The results show that both measurement methods work well to detect the bearing frequencies, but the vibration measurement was more sensitive for an early detection.

Keywords: variational mode decomposition; VMD; empirical mode decomposition; bearing fault; operational modal analysis; OMA; vibration; acoustic emission.

DOI: 10.1504/IJVNV.2019.102151

International Journal of Vehicle Noise and Vibration, 2019 Vol.15 No.1, pp.21 - 41

Received: 19 Apr 2018
Accepted: 03 Jan 2019
Published online: 09 Sep 2019 *

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