Multiple faults separation and identification of rolling bearings based on time-frequency spectrogram
| Author(s): |
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) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring, November 2023, n. 4, v. 23 |
| Page(s): | 2040-2067 |
| DOI: | 10.1177/14759217231197110 |
- About this
data sheet - Reference-ID
10745643 - Published on:
28/10/2023 - Last updated on:
20/09/2024
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