Degradation Monitoring of Low-voltage Electromagnetic Coil Insulation Based on Microscopic Image Analysis
文献类型：会议论文
| 作者 | Kong FJ(孔樊杰)5; Wang K(王锴)1,2 ; Qi SL(齐守良)5; Guo HF(郭海丰)1,2,3,4; Xu AD(徐皑冬)1,2; Liu ZH(刘志华)1,2; Li C(李晨)5
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| 出版日期 | 2018 |
| 会议日期 | October 26-28, 2018 |
| 会议地点 | Chongqing, China |
| 关键词 | low-voltage electromagnetic coil insulation degradation monitoring microscopic image analysis |
| 页码 | 692-696 |
| 英文摘要 | Electromagnetic coils are widely used in a variety of industries, and their insulation damage is one of the main factors which results in failure of solenoid-operated valves and motors. This paper provides a novel method for degradation monitoring of low-voltage coil insulation based on microscopic image analysis. Degradation-sensitive color features from RGB, HSV and HSL color spaces are identified to quantify the appearance differences between healthy and degraded magnet wires, which provides a new way for coil health monitoring. Comparing to the existing high-frequency electrical signal based degradation monitoring methods, the proposed method is lowcost and easy to apply for coil insulation test. |
| 产权排序 | 1 |
| 会议录 | 2018 Prognostics and System Health Management Conference
 |
| 会议录出版者 | IEEE |
| 会议录出版地 | New York |
| 语种 | 英语 |
| ISSN号 | 2166-5656 |
| ISBN号 | 978-1-5386-5380-7 |
| WOS记录号 | WOS:000459864800116 |
| 源URL | [http://ir.sia.cn/handle/173321/23829]  |
| 专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
| 通讯作者 | Wang K(王锴) |
| 作者单位 | 1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 2.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences 3.University of Chinese Academy of Sciences, Beijing, China 4.Liaoning Institute of Science and Technology, Benxi, China 5.Sino-Dutch Biomedical and Information Engineering School Northeastern University, Shenyang, China |
| 推荐引用方式 GB/T 7714 | Kong FJ,Wang K,Qi SL,et al. Degradation Monitoring of Low-voltage Electromagnetic Coil Insulation Based on Microscopic Image Analysis[C]. 见:. Chongqing, China. October 26-28, 2018. |
入库方式： OAI收割
来源：沈阳自动化研究所
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