Integrating the maximum mean discrepancy metric with time–frequency enhanced convolutional neural networks for fault diagnosis

Autor(en):	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:	Fachartikel
Sprache(n):	Englisch
Veröffentlicht in:	Structural Health Monitoring
DOI:	10.1177/14759217241302370

Structurae kann Ihnen derzeit diese Veröffentlichung nicht im Volltext zur Verfügung stellen. Der Volltext ist beim Verlag erhältlich über die DOI: 10.1177/14759217241302370.

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