MTBS-Net: A bearing remaining useful life prediction method based on multi-scale temporal feature fusion and parallel bidirectional sequence modeling

Wei Yang, Dechen Yao, Jianwei Yang, Ning Wang, Quanyu Long, Zihang Qiao, Yuteng Ren, Jia Dong, School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Beijing Key Laboratory of Performance Guarantee on Urban Rail Transit Vehicles, School of Mechanical-Electronic and Vehicle Engineering, Beijing University of Civil Engineering and Architecture, Institute of Applied Mathematics, Hebei Academy of Sciences, Information Security Authentication Technology Innovation Center of Hebei Province

Journal of Vibration and Control

Published online on February 25, 2026

Abstract

Journal of Vibration and Control, Ahead of Print.
Recent advances in deep learning have greatly promoted remaining useful life (RUL) prediction of rotating machinery, yet challenges remain in effectively capturing multi-scale temporal patterns from noisy vibration signals. Existing models generally ...