Xiao, Shuai https://orcid.org/0009-0005-2463-7879
Feng, Qingsheng https://orcid.org/0000-0002-6361-3096
Hu, Xiaoxi https://orcid.org/0000-0001-5702-1281
Song, Yakun
Cong, Guanglin
Yao, Zeyuan
Funding for this research was provided by:
Department of Education of Liaoning Province (JDL2020020)
Article Title: A novel fault diagnosis model based on deep feature fusion network under imbalanced data: towards railway dual-switch machines traction occasion
Journal Title: Measurement Science and Technology
Article Type: paper
Copyright Information: © 2024 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2024-09-21
Date Accepted: 2024-11-20
Online publication date: 2024-11-29