DSpace
 

Depot Institutionnel de l'UMBB >
Publications Scientifiques >
Communications Internationales >

Veuillez utiliser cette adresse pour citer ce document : http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/6024

Titre: Detection of bearing fault using Empirical Wavelet Transform and S Transform methods
Auteur(s): Merainani, Boualem
Bouzid, Abir Amar
Ratni, Azeddine
Benazzouz, Djamel
Mots-clés: Detection of bearing fault using
Empirical Wavelet Transform
Date de publication: 2020
Editeur: IEEE
Collection/Numéro: 020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP);
Résumé: Rolling-element bearing is one of the crucial mechanical components in induction motors. Since, its fault may produce huge damage; the way to efficiently diagnose the bearing faults is a high issue in signal processing, and its fault detection draw an important significance. In this paper, a hybrid method based on Empirical Wavelet Transform and S Transform has been proposed in order to detect the outer race bearing fault in an induction motor using vibration signals. As the collected signals are disturbed by noise, EWT is used to filter the raw signals in conjunction with isolating the region containing fault characteristic frequencies. Then ST is used to represent an Amplitude-Frequency and a Time-Frequency contour of the filtered signals, which allow to detect the bearing fault. Finally, experimental vibration data have been investigated to assess the reliability of the developed method. The results obtained show a good performance
URI/URL: https://ieeexplore.ieee.org/abstract/document/9151834
http://dlibrary.univ-boumerdes.dz:8080/handle/123456789/6024
ISSN: 19855547
Collection(s) :Communications Internationales

Fichier(s) constituant ce document :

Fichier Description TailleFormat
Detection of bearing fault using Empirical Wavelet.pdf80,02 kBAdobe PDFVoir/Ouvrir
View Statistics

Tous les documents dans DSpace sont protégés par copyright, avec tous droits réservés.

 

Valid XHTML 1.0! Ce site utilise l'application DSpace, Version 1.4.1 - Commentaires