Fu, Honghao https://orcid.org/0009-0001-4406-0705
Li, Zisheng https://orcid.org/0009-0002-5920-5783
Xiao, Xiaoping https://orcid.org/0009-0001-5482-2902
Zhou, Wenjun https://orcid.org/0000-0002-7434-344X
Zhang, Kai https://orcid.org/0000-0002-3615-5616
Funding for this research was provided by:
Southwest University of Science and Technology Doctoral Fund Program (Grant No. 17zx7153)
Research and Development Program of Sichuan Province (2017GZ0350)
Research and Development Program of China (2021YFB3400702)
Article Title: Multi-source domain generalization tool wear prediction based on wide convolution weighted antagonism
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: 2024-07-29
Date Accepted: 2024-11-21
Online publication date: 2024-12-06