• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于 TMR 传感器的避雷器泄漏电流现场源特性研究。

Research on Field Source Characteristics of Leakage Current of Arrester Based on TMR Sensor.

机构信息

State Key Laboratory of Power Transmission Equipment and System Security and New Technology, Chongqing University, Chongqing 400044, China.

Chongqing Electric Power Research Institute, Chongqing Electric Power Company, Chongqing 401123, China.

出版信息

Sensors (Basel). 2023 Apr 8;23(8):3830. doi: 10.3390/s23083830.

DOI:10.3390/s23083830
PMID:37112169
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10145493/
Abstract

The status of zinc oxide (ZnO) arresters is directly related to the safety of power grids. However, as the service life of ZnO arresters increases, their insulation performance may decrease due to factors such as operating voltage and humidity, which can be identified through the measurement of leakage current. Tunnel magnetoresistance (TMR) sensors with high sensitivity, good temperature stability, and small size are excellent for measuring leakage current. This paper constructs a simulation model of the arrester and investigates the deployment of the TMR current sensor and the size of the magnetic concentrating ring. The arrester's leakage current magnetic field distribution under different operating conditions is simulated. The simulation model can aid in optimizing the detection of leakage current in arresters using TMR current sensors, and the findings serve as a basis for monitoring the condition of arresters and improving the installation of current sensors. The TMR current sensor design offers potential advantages such as high accuracy, miniaturization, and ease of distributed application measurement, making it suitable for large-scale use. Finally, the validity of the simulations and conclusions is verified through experiments.

摘要

氧化锌(ZnO)避雷器的状态直接关系到电网的安全。然而,随着氧化锌避雷器使用寿命的增加,其绝缘性能可能会因工作电压和湿度等因素而下降,可以通过泄漏电流的测量来识别。具有高灵敏度、良好温度稳定性和小尺寸的隧道磁阻(TMR)传感器非常适合测量泄漏电流。本文构建了避雷器的仿真模型,研究了 TMR 电流传感器的布置和磁集中环的尺寸。模拟了不同运行条件下避雷器的泄漏电流磁场分布。该仿真模型有助于优化 TMR 电流传感器对避雷器泄漏电流的检测,研究结果为监测避雷器的状况和改进电流传感器的安装提供了依据。TMR 电流传感器的设计具有高精度、小型化和易于分布式应用测量等优点,适合大规模使用。最后,通过实验验证了模拟和结论的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/6a0d9ae47207/sensors-23-03830-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/e8e5aff5f783/sensors-23-03830-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/b17427a83543/sensors-23-03830-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/9586a638e305/sensors-23-03830-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/6388a7cea810/sensors-23-03830-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/abf931e2d6ab/sensors-23-03830-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/b4089e87ac02/sensors-23-03830-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/6d81a1f6af7d/sensors-23-03830-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/b346312d250f/sensors-23-03830-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/43252cb1c5f2/sensors-23-03830-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/e18d539f16a1/sensors-23-03830-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/0a6a8571a3a7/sensors-23-03830-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/927f2dc098e5/sensors-23-03830-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/67a789b7d456/sensors-23-03830-g013a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/7bacf5d9078b/sensors-23-03830-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/51845ead879b/sensors-23-03830-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/786a83e3f644/sensors-23-03830-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/f7e4b81cabd1/sensors-23-03830-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/62e17f226c99/sensors-23-03830-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/d97e9a1cf1a6/sensors-23-03830-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/6a0d9ae47207/sensors-23-03830-g020.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/e8e5aff5f783/sensors-23-03830-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/b17427a83543/sensors-23-03830-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/9586a638e305/sensors-23-03830-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/6388a7cea810/sensors-23-03830-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/abf931e2d6ab/sensors-23-03830-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/b4089e87ac02/sensors-23-03830-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/6d81a1f6af7d/sensors-23-03830-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/b346312d250f/sensors-23-03830-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/43252cb1c5f2/sensors-23-03830-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/e18d539f16a1/sensors-23-03830-g010a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/0a6a8571a3a7/sensors-23-03830-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/927f2dc098e5/sensors-23-03830-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/67a789b7d456/sensors-23-03830-g013a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/7bacf5d9078b/sensors-23-03830-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/51845ead879b/sensors-23-03830-g015.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/786a83e3f644/sensors-23-03830-g016.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/f7e4b81cabd1/sensors-23-03830-g017.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/62e17f226c99/sensors-23-03830-g018.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/d97e9a1cf1a6/sensors-23-03830-g019.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c26/10145493/6a0d9ae47207/sensors-23-03830-g020.jpg

相似文献

1
Research on Field Source Characteristics of Leakage Current of Arrester Based on TMR Sensor.基于 TMR 传感器的避雷器泄漏电流现场源特性研究。
Sensors (Basel). 2023 Apr 8;23(8):3830. doi: 10.3390/s23083830.
2
Extracting the Resistive Current Component from a Surge Arrester's Leakage Current without Voltage Reference.从无电压参考的避雷器泄漏电流中提取阻性电流分量。
Sensors (Basel). 2021 Feb 10;21(4):1257. doi: 10.3390/s21041257.
3
Design and Optimization of Multi-Stage TMR Sensors for Power Equipment AC/DC Leakage Current Detection.多阶段 TMR 传感器在电力设备交直流漏电流检测中的设计与优化。
Sensors (Basel). 2023 May 14;23(10):4749. doi: 10.3390/s23104749.
4
Serial MTJ-Based TMR Sensors in Bridge Configuration for Detection of Fractured Steel Bar in Magnetic Flux Leakage Testing.用于漏磁检测中检测断裂钢筋的基于磁致伸缩接头的串联式隧道磁阻(TMR)传感器,采用桥式配置 。
Sensors (Basel). 2021 Jan 19;21(2):668. doi: 10.3390/s21020668.
5
Detection of Failures in Metal Oxide Surge Arresters Using Frequency Response Analysis.利用频率响应分析检测金属氧化物避雷器故障。
Sensors (Basel). 2023 Jun 16;23(12):5633. doi: 10.3390/s23125633.
6
A Bibliometric and Comprehensive Review on Condition Monitoring of Metal Oxide Surge Arresters.金属氧化物避雷器状态监测的文献计量与综合综述
Sensors (Basel). 2023 Dec 31;24(1):235. doi: 10.3390/s24010235.
7
Non-Contact Current Measurement for Three-Phase Rectangular Busbars Using TMR Sensors.使用隧道磁阻(TMR)传感器对三相矩形母线进行非接触式电流测量。
Sensors (Basel). 2024 Jan 9;24(2):388. doi: 10.3390/s24020388.
8
Optimal design of dual air-gap closed-loop TMR current sensor based on minimum magnetic field uniformity coefficient.基于最小磁场均匀性系数的双气隙闭环 TMR 电流传感器的优化设计。
Sci Rep. 2023 Jan 5;13(1):239. doi: 10.1038/s41598-022-26971-9.
9
Tunnel Magnetoresistance Sensor with AC Modulation and Impedance Compensation for Ultra-Weak Magnetic Field Measurement.用于超弱磁场测量的具有交流调制和阻抗补偿的隧道磁阻传感器
Sensors (Basel). 2022 Jan 28;22(3):1021. doi: 10.3390/s22031021.
10
Development and Comprehensive Evaluation of TMR Sensor-Based Magnetrodes.基于TMR传感器的磁电极的开发与综合评估
ACS Appl Mater Interfaces. 2024 Jun 19;16(24):31677-31686. doi: 10.1021/acsami.4c01148. Epub 2024 Jun 4.

引用本文的文献

1
High-Precision, Self-Powered Current Online Monitoring System Based on TMR Sensors Array for Distribution Networks.基于TMR传感器阵列的高精度、自供电配电网电流在线监测系统
Sensors (Basel). 2025 Feb 27;25(5):1473. doi: 10.3390/s25051473.
2
A High-Precision Temperature Compensation Method for TMR Weak Current Sensors Based on FPGA.一种基于FPGA的TMR弱电流传感器高精度温度补偿方法
Micromachines (Basel). 2024 Nov 22;15(12):1407. doi: 10.3390/mi15121407.

本文引用的文献

1
Extracting the Resistive Current Component from a Surge Arrester's Leakage Current without Voltage Reference.从无电压参考的避雷器泄漏电流中提取阻性电流分量。
Sensors (Basel). 2021 Feb 10;21(4):1257. doi: 10.3390/s21041257.
2
Hall effect instruments, evolution, implications, and future prospects.霍尔效应仪器、演变、影响及未来前景。
Rev Sci Instrum. 2020 Jul 1;91(7):071502. doi: 10.1063/5.0009647.
3
Study on the Application of Optical Current Sensor for Lightning Current Measurement of Transmission Line.研究光学电流传感器在输电线路雷电流测量中的应用。
Sensors (Basel). 2019 Nov 22;19(23):5110. doi: 10.3390/s19235110.