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Particle filtering based remaining useful life prediction for electromagnetic coil insulation
Guo HF(郭海丰)1,2,3,4,5; Xu AD(徐皑冬)1,2,3; Wang K(王锴)1,2,3; Sun Y(孙越)1,2,3,4; Han XJ(韩晓佳)1,2,3,4; Hong, Seung Ho6; Yu, Mengmeng6
Department工业控制网络与系统研究室
Source PublicationSensors (Switzerland)
ISSN1424-8220
2021
Volume21Issue:2Pages:1-14
Indexed BySCI ; EI
EI Accession number20210309789049
WOS IDWOS:000611702700001
Contribution Rank1
Funding OrganizationNational Natural Science Foundation of China (62073313)
Keywordinsulation degradation insulation failure inter-turn short resonant frequency PF prognostics
Abstract

Electromagnetic coils are one of the key components of many systems. Their insulation failure can have severe effects on the systems in which coils are used. This paper focuses on insulation degradation monitoring and remaining useful life (RUL) prediction of electromagnetic coils. First, insulation degradation characteristics are extracted from coil high-frequency electrical parameters. Second, health indicator is defined based on insulation degradation characteristics to indicate the health degree of coil insulation. Finally, an insulation degradation model is constructed, and coil insulation RUL prediction is performed by particle filtering. Thermal accelerated degradation experiments are performed to validate the RUL prediction performance. The proposed method presents opportunities for predictive maintenance of systems that incorporate coils.

Language英语
WOS SubjectChemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS Research AreaChemistry ; Engineering ; Instruments & Instrumentation
Funding ProjectNational Natural Science Foundation of China[62073313]
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/28206
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, Shenyang 110016, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
4.University of Chinese Academy of Sciences, Beijing 100049, China
5.Liaoning Institute of Science and Technology, Benxi 117004, China
6.Department of Electronic Engineering, Hanyang University, Ansan 15588, Korea, Republic of
Recommended Citation
GB/T 7714
Guo HF,Xu AD,Wang K,et al. Particle filtering based remaining useful life prediction for electromagnetic coil insulation[J]. Sensors (Switzerland),2021,21(2):1-14.
APA Guo HF.,Xu AD.,Wang K.,Sun Y.,Han XJ.,...&Yu, Mengmeng.(2021).Particle filtering based remaining useful life prediction for electromagnetic coil insulation.Sensors (Switzerland),21(2),1-14.
MLA Guo HF,et al."Particle filtering based remaining useful life prediction for electromagnetic coil insulation".Sensors (Switzerland) 21.2(2021):1-14.
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