Xu, Xiaozhuo https://orcid.org/0000-0003-0817-979X
Li, Zhiyuan https://orcid.org/0000-0001-6324-8562
Zhao, Yunji https://orcid.org/0000-0001-6024-9105
Qian, Wei https://orcid.org/0000-0002-3994-6501
Funding for this research was provided by:
National Natural Science Foundation of China (52177039)
the Fundamental Research Funds for the Universities of Henan Province (NSFRF200504)
The Key Technologies RD Program of Henan Province of China (212102210145)
Article Title: Fault diagnosis of gas turbine generator bearings using enhanced valuable sample strategy and convolutional neural network
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: 2023-02-06
Date Accepted: 2023-09-27
Online publication date: 2023-10-16