Angular resampling-sparse representation classification (AR-SRC): A new method for bearing fault diagnosis in non-stationary conditions

Mohamed Sekini, Bilal El Yousfi, Tarek Benkedjouh, Kamal Medjaher, Abdel Wahhab Lourari, Laboratoire Mécanique des Structures , Ecole Militaire Polytechnique , Laboratoire Génie de Production, University of Technology Tarbes Occitanie Pyrénées

Journal of Vibration and Control

Published online on December 20, 2025

Abstract

Journal of Vibration and Control, Ahead of Print.
This paper presents a novel methodology for bearing fault diagnosis under non-stationary operating conditions using angular resampling combined with sparse representation classification. The proposed approach addresses variable speed challenges by ...