Zhao, Kaicheng
Wen, Qi
Li, He https://orcid.org/0000-0001-6429-9097
Zhang, Wanfu
Xu, Zifei https://orcid.org/0000-0003-2661-517X
Feng, Ke
Funding for this research was provided by:
Science and Technology Innovation Action Plan (24ZR1454800)
State Key Laboratory of Mechanical System and Vibration (MSV202411)
National Natural Science Foundation of China (72301299)
EPSRC (EP/Y014235/1)
Horizon Europe Marie Skłodowska-Curie Postdoctoral Fellowship (DROMS-FOWT–101146961)
Article Title: Enhanced prognostic reliability for rotating machinery using neural networks with multi-scale vibration feature learning and uncertainty quantification
Journal Title: Measurement Science and Technology
Article Type: paper
Copyright Information: © 2025 The Author(s). Published by IOP Publishing Ltd
Publication dates
Date Received: 2024-11-26
Date Accepted: 2025-05-06
Online publication date: 2025-05-19