Yu, Ying
Shao, Yingshi https://orcid.org/0009-0004-2670-2614
Tang, Tang https://orcid.org/0000-0001-5644-3765
Wang, Hongjun https://orcid.org/0009-0005-8650-1459
Wu, Jie
Tang, Xinyuan
Funding for this research was provided by:
National Natural Science Foundation of China (U24B20161)
Article Title: A novel few-shot cross-domain fault diagnosis method enhanced by feature fusion and ReLU-KAN
Journal Title: Engineering Research Express
Article Type: paper
Copyright Information: © 2025 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2025-02-07
Date Accepted: 2025-04-14
Online publication date: 2025-04-29