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| Content Provider | IET Digital Library |
|---|---|
| Author | Zhang, Xueying Luan, Zhongquan Liu, Xiuli |
| Abstract | Aiming at the problem that fault signals of rolling bearing are easily submerged by the strong background noise, which makes it difficult to extract fault information, so a method based on kurtosis criterion variational mode decomposition (VMD) and modulo square threshold is proposed and applied to fault diagnosis of rolling bearing. First, the vibration signals of rolling bearing are processed by VMD. Second, the signals are reconstructed by selecting the intrinsic mode function (IMF) components with the largest kurtosis and the second largest kurtosis. Finally, the reconstruction signals are de-noised by the modulo square threshold. Through the test of the inner ring and outer ring of the rolling bearing, the feasibility and effectiveness of the proposed method are verified. |
| Starting Page | 8685 |
| Ending Page | 8690 |
| Page Count | 6 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 23, Dec (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/23 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9084 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-03-25 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Civil And Mechanical Engineering Computing Digital Signal Processing Fault Diagnosis Fault Information Fault Signal Kurtosis Criterion Variational Mode Decomposition Kurtosis Criterion VMD Largest Kurtosis Maintenance And Reliability Mechanical Component Mechanical Engineering Mechanical Engineering Application of IT Mechanical Engineering Computing Modulo Square Threshold Rolling Bearing Rolling Bearings Signal Processing Signal Processing And Detection Vibrations Vibrations And Shock Wave |
| Content Type | Text |
| Resource Type | Article |
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