Wang, Zhiyuan
Guo, Junyu https://orcid.org/0000-0001-9462-9501
Wang, Jiang
Yang, Yulai
Dai, Le
Huang, Cheng-Geng
Wan, Jia-Lun
Funding for this research was provided by:
Joint Fund of Key Laboratory of Oil & Gas Equipment, Ministry of Education (Southwest Petroleum University) and Honghua Group Co., Ltd (OGEHH202005)
Natural Science Foundation of SiChuan, China (2023NSFSC0854)
National Natural Science Foundation of China (62003377)
Article Title: A deep learning based health indicator construction and fault prognosis with uncertainty quantification for rolling bearings
Journal Title: Measurement Science and Technology
Article Type: paper
Copyright Information: © 2023 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2023-03-29
Date Accepted: 2023-06-21
Online publication date: 2023-06-30