Yu, Di https://orcid.org/0000-0002-9633-1044
Fu, Haiyue https://orcid.org/0009-0009-3986-3165
Song, Yanchen
Xie, Wenjian
Xie, Zhijie https://orcid.org/0000-0002-1104-2375
Funding for this research was provided by:
Science Foundation of national Key Laboratory of Science and Technology on Advanced Composites in Special Environments (JCKYS2021603C013)
Fundamental Research Funds for the Central Universities (2572021BF05)
Article Title: Deep transfer learning rolling bearing fault diagnosis method based on convolutional neural network feature fusion
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: 2023-07-23
Date Accepted: 2023-09-28
Online publication date: 2023-10-09