Multiple faults separation and identification of rolling bearings based on time-frequency spectrogram
Autor(en): |
Ming Lv
(School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou, China)
Changfeng Yan (School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou, China) Jianxiong Kang (School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou, China) Jiadong Meng (School of Mechanical Engineering, Lanzhou Jiaotong University, Lanzhou, China) Zonggang Wang (College of Physics and Electromechanical Engineering, Hexi University, Zhangye, China) Shengqiang Li (School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou, China) Bin Liu (School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou, China) |
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Medium: | Fachartikel |
Sprache(n): | Englisch |
Veröffentlicht in: | Structural Health Monitoring, November 2023, n. 4, v. 23 |
Seite(n): | 2040-2067 |
DOI: | 10.1177/14759217231197110 |
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Datenseite - Reference-ID
10745643 - Veröffentlicht am:
28.10.2023 - Geändert am:
20.09.2024