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Degradation Monitoring of Low-voltage Electromagnetic Coil Insulation Based on Microscopic Image Analysis
Wang K(王锴)1,2; 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; Kong FJ(孔樊杰)5; Qi SL(齐守良)5
Department工业控制网络与系统研究室
Conference Name2018 Prognostics and System Health Management Conference
Conference DateOctober 26-28, 2018
Conference PlaceChongqing, China
Source Publication2018 Prognostics and System Health Management Conference
PublisherIEEE
Publication PlaceNew York
2018
Pages692-696
Indexed ByEI ; CPCI(ISTP)
EI Accession number20190806536832
WOS IDWOS:000459864800116
Contribution Rank1
ISSN2166-5656
ISBN978-1-5386-5380-7
Keywordlow-voltage electromagnetic coil insulation degradation monitoring microscopic image analysis
AbstractElectromagnetic 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.
Language英语
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Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/23829
Collection工业控制网络与系统研究室
Corresponding AuthorWang K(王锴)
Affiliation1.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
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
Recommended Citation
GB/T 7714
Wang K,Guo HF,Xu AD,et al. Degradation Monitoring of Low-voltage Electromagnetic Coil Insulation Based on Microscopic Image Analysis[C]. New York:IEEE,2018:692-696.
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