Detection of Bearing Outer Race Fault in Induction Motors using Motor Current Signature Analysis
文献类型：会议论文
| 作者 | Song XJ(宋向金)1 ; Wang ZW(王照伟)1; Hu JT(胡静涛)2
|
| 出版日期 | 2019 |
| 会议日期 | August 11-14, 2019 |
| 会议地点 | Harbin, China |
| 关键词 | induction motor bearing fault stator current signature analysis CEEMDAN |
| 页码 | 1-5 |
| 英文摘要 | Bearing damage is the most common fault type in induction motors. In recent years, bearing fault detection based on motor current signature analysis (MCSA) has been gained extensive attention. However, the changes in the stator current signal which is caused by the bearing fault are usually very weak. In order to detect bearing fault effectively, a method for bearing fault detection based on complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) analysis of motor current signals is proposed. The CEEMDAN is used to decompose the stator current signal into several independent intrinsic mode functions (IMF), then the most sensitive IMF can be extracted. The experimental results show that the proposed approach is effective for bearing outer race fault detection. © 2019 IEEE. |
| 产权排序 | 2 |
| 会议录 | 2019 22nd International Conference on Electrical Machines and Systems, ICEMS 2019
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISBN号 | 978-1-7281-3398-0 |
| WOS记录号 | WOS:000537504802029 |
| 源URL | [http://ir.sia.cn/handle/173321/26173]  |
| 专题 | 沈阳自动化研究所_数字工厂研究室 |
| 通讯作者 | Song XJ(宋向金) |
| 作者单位 | 1.Jiangsu University, School of Electrical and Information Engineering, Zhenjiang 212013, China 2.Chinese Academy of Sciences, Shenyang Institute of Automation, Shenyang 110016, China |
| 推荐引用方式 GB/T 7714 | Song XJ,Wang ZW,Hu JT. Detection of Bearing Outer Race Fault in Induction Motors using Motor Current Signature Analysis[C]. 见:. Harbin, China. August 11-14, 2019. |
入库方式： OAI收割
来源：沈阳自动化研究所
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