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面向智能制造的电磁线圈绝缘退化监测方法
Alternative TitleDegradation Monitoring Method of Electromagnetic Coil Insulation for Smart Manufacturing
王锴; 郭海丰; 徐皑冬; 刘洋; 韩晓佳
Department工业控制网络与系统研究室
Source Publication信息与控制
ISSN1002-0411
2017
Volume46Issue:4Pages:469-473, 512
Indexed ByCSCD
CSCD IDCSCD:6065031
Contribution Rank1
Funding Organization国家自然科学基金国际(地区)合作与交流项目(NSFC-NRF(中韩))(71661147005)
Keyword故障预测与健康管理 预测性维护 电磁线圈 退化监测 Opc-ua
Abstract以电磁阀、电动机、变压器等设备中的基础能量转换元件——电磁线圈——为研究对象,针对其绝缘失效突出的实际问题,研究了电磁线圈绝缘退化监测问题。首先,基于电磁线圈等效电路模型和绝缘失效机理分析从理论上证明了线圈谐振频率与绝缘退化之间存在关联关系;其次,针对电磁阀线圈样品完成了热加速退化实验,实验结果表明线圈绝缘退化过程中谐振频率值持续减小,验证了谐振频率作为电磁线圈在线健康监测参数的有效性;最后,针对智能工厂实际需求,提出了面向工业4.0的生产设备/核心组件衰退状态透明化管理系统设计架构。
Other AbstractWe focuses on insulation degradation monitoring of electromagnetic coils which are fundamental energy conversion components and have been widely used in solenoid valves, motors, and transformers, due to that electromagnetic coils have been shown to be failure prone in reality. First, we theoretically prove that there exists correlation between the coil resonant frequency and the insulation degradation by the coil equivalent circuit model and the insulation failure mechanism analysis. Second, we perform thermal accelerating degradation tests on a solenoid valve coil and the result shows that coil resonant frequency decreases during the test, which validates resonant frequency as the on-line health monitoring parameter for the coil. Finally, we propose a framework for constructing a management system for transparency of degradation states of manufacturing equipment/key components under Industry 4.0 aiming at the practical requirements of smart factory.
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/20972
Collection工业控制网络与系统研究室
Corresponding Author王锴
Affiliation1.中国科学院沈阳自动化研究所
2.中国科学院网络化控制系统重点实验室
3.中国科学院大学
Recommended Citation
GB/T 7714
王锴,郭海丰,徐皑冬,等. 面向智能制造的电磁线圈绝缘退化监测方法[J]. 信息与控制,2017,46(4):469-473, 512.
APA 王锴,郭海丰,徐皑冬,刘洋,&韩晓佳.(2017).面向智能制造的电磁线圈绝缘退化监测方法.信息与控制,46(4),469-473, 512.
MLA 王锴,et al."面向智能制造的电磁线圈绝缘退化监测方法".信息与控制 46.4(2017):469-473, 512.
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