Integrating the maximum mean discrepancy metric with time–frequency enhanced convolutional neural networks for fault diagnosis
| Author(s): |
Xueyi Li
(College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China)
Peng Yuan (College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China) Jun Yu (School of Automation, Harbin University of Science and Technology, Harbin, China) Rongying Yin (Harbin Aircraft Industry (Group) Co. Ltd, AviationIndustry Corporation of China, Harbin, China) Siwei Zhao (College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China) Yuxuan Yang (College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China) Jiahao Zhang (College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China) Ziyu Liu (College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, China) Fulei Chu (The Department of Mechanical Engineering, Tsinghua University, Beijing, China) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring |
| DOI: | 10.1177/14759217241302370 |
- About this
data sheet - Reference-ID
10812079 - Published on:
17/01/2025 - Last updated on:
17/01/2025
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