Bearing fault diagnosis method based on comprehensive information divergence and improved BP-AdaBoost algorithm
| Author(s): |
ChenCheng Zhao
(School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China)
HaiYing Liang (School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China) Yue Shan (School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China) Yang Liu 
(School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China)
Haiyang Chen (School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China) NingYuan Cui (School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China) KuiYuan Bao (School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China) ZiJian Yin (School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China) |
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring, February 2023, n. 5, v. 22 |
| Page(s): | 147592172211406 |
| DOI: | 10.1177/14759217221140645 |
- About this
data sheet - Reference-ID
10714752 - Published on:
21/03/2023 - Last updated on:
01/09/2023
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