Wang, Jiang
Guo, Junyu https://orcid.org/0000-0001-9462-9501
Wang, Lin
Yang, Yulai
Wang, Zhiyuan
Wang, Rongqiu
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)
Sichuan Science and Technology Program (2022YFQ0012)
Article Title: A hybrid intelligent rolling bearing fault diagnosis method combining WKN-BiLSTM and attention mechanism
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: 2023-01-06
Date Accepted: 2023-04-19
Online publication date: 2023-05-02