Numerical simulation-aided deep convolutional transfer learning networks to reliable detect bearing faults under varying working conditions

Pan Su, Yunxia Lou, Shuhui Wang, Jiawei Xiang, Naval University of Engineering, College of Mechanical and Electrical Engineering, Wenzhou University, Zhejiang Key Laboratory of Equipment Monitoring and Intelligent Operation , Maintenance under Extreme Working Conditions

Journal of Vibration and Control

Published online on March 27, 2026

Abstract

Journal of Vibration and Control, Ahead of Print.
Data-driven intelligent bearing fault detection methods are only suitable for close-set detection. For open-set detection, it requires complete labelled training fault samples to preserve the reliability and accuracy of fault detection. Therefore, the ...