Fusion of 2D-SwinTransformer and 1D-CNN-SENet for bearing fault diagnosis modelling

Xinyu Sha, Fucai Qian, Lin Yan, Baogang Bian, School of Automation and Information Engineering, an University of Technology, s Republic of China, China Xi, an Satellite Control Center, s Republic of China

Journal of Vibration and Control

Published online on August 06, 2025

Abstract

Journal of Vibration and Control, Ahead of Print.
Bearing fault diagnosis is a critical issue in mechanical system fault diagnosis. To address the limitations of single-model approaches, a parallel feature fusion model combining 2D-SwinTransformer and 1D-CNN-SENet is proposed. The model integrates Fast ...