Ultrasonic Detection-based Parameter Identification for Metal Particles in GIS

NIU Bo; YANG Dingge; YUAN Fuxiang; HE Jihou; REN Shuangzan; GUO Zihao

doi:10.13296/j.1001-1609.hva.2026.07.008

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Ultrasonic Detection-based Parameter Identification for Metal Particles in GIS

Research & Analysis | 更新时间：2026-07-06

- Ultrasonic Detection-based Parameter Identification for Metal Particles in GIS
- High Voltage Apparatus Vol. 62, Issue 7, Pages: 85-94(2026)
- 作者机构：
  
  国网陕西省电力有限公司电力科学研究院，西安 710100
  国网陕西省电力有限公司超高压公司，西安 710026
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2026.07.008
  CLC：
- Received：07 January 2026，
  
  Revised：2026-03-11，
  
  Published：16 July 2026
- 稿件说明：
移动端阅览
NIU Bo, YANG Dingge, YUAN Fuxiang, et al. Ultrasonic Detection-based Parameter Identification for Metal Particles in GIS[J]. High Voltage Apparatus, 2026, 62(7): 85-94.
DOI：

NIU Bo, YANG Dingge, YUAN Fuxiang, et al. Ultrasonic Detection-based Parameter Identification for Metal Particles in GIS[J]. High Voltage Apparatus, 2026, 62(7): 85-94. DOI： 10.13296/j.1001-1609.hva.2026.07.008.

摘要

GIS运行过程中内部不可避免地会产生金属微粒，而金属微粒一直是危害GIS绝缘性能的主要来源之一。基于超声检测法识别金属微粒参数，是对GIS绝缘状态高效监测和在线评估的关键技术。文中基于GIS内金属微粒的运动分析，研究不同超声信号谱图的变化规律，重点研究超声幅值—飞行时间谱图与微粒参数的关系，采用仿真和实验的方法，分析超声幅值—飞行时间谱图中的线性分量和正弦分量与微粒质量、最大飞行高度等参数的量化关系。研究表明，金属微粒主要受重力与电场力作用，其中重力影响谱图中的线性分量，电场力影响谱图中的正弦分量，通过分解出的两种分量可推导微粒参数与之对应的数值关系，据此估算微粒自身特性参数，最后在GIS同轴实验腔体中进行双盲实验验证，结果表明基于超声检测法识别GIS内微粒参量的准确率可在80%以上，具有较好的准确识别能力。

Abstract

Metal particles are inevitably produced in GIS during operation and have always been one of the main sources of harming GIS insulation performance. Identification of metal particle parameters based on ultrasonic detection is a key technology for efficient monitoring and online evaluation of GIS insulation status. Based on the motion analysis of metal particles in GIS

in this paper the variation of different ultrasonic signal spectrums is studied， with the relationship between acoustic amplitude-flight time pattern and particle parameters in particular

and the quantitative relationship among the linear component and sinusoidal component of acoustic amplitude-flight time pattern and particle mass

maximum flight height and other parameters are analzyed by way of simulation and experiment methods. The research shows that metal particles are mainly affected by gravity and electric field force

in which the former affects the linear component of the spectrum and the latter affects the sinusoidal component of the spectrum. The numerical relationship between particle parameters and their corresponding values can be derived from the two decomposed components and

on this basis

the particle's own characteristic parameters can be estimated. Finally

the double-blind experiment is carried out in the GIS coaxial experimental chamber for verification. The results show that the accuracy of particle parameter identification in GIS based on ultrasonic detection method can reach more than 80%

and the method has a good ability of accurate identification.

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references

严璋,朱德恒.高电压绝缘技术[M].北京:中国电力出版社, 2002.

Yan Zhang, Zhu Deheng. High voltage insulation technology[M]. Beijing:China Electric Power Press,2002.

邱毓昌. GIS设备及其绝缘技术[M].北京:水利电力出版社, 1994.

Qiu Yuchang. GIS equipment and its insulation technology[M]. Beijing:China Water and Power Press,1994.

Song Jiajie, Li Xiaoang, Zhang Qiaogen, et al. Sensitivity of dielectric strength of C 4 F 7 N binary gas mixture to electric field distribution under lightning impulse[J ] . IEEE Transactions on Dielectrics and Electrical Insulation,2020,27(4):1152-1159.

Yanabu S, Zaima E, Hasegawa T. Historical review of high voltage switchgear developments in the 20th century for power transmission and distribution system in Japan[J]. IEEE Transactions on Power Delivery,2006,21(2):659-664.

DL/T 304—2011气体绝缘金属封闭输电线路现场交接试验导则[S].

DL/T 304—2011 Guide for hand-over test of gas-insulated metalenclosed transmission line on site[S].

李鹏,李金忠,崔博源,等.特高压交流输变电装备最新技术发展[J].高电压技术,2016,42(4):1068-1078.

Li Peng, Li Jinzhong, Cui Boyuan, et al. Achievements in the newest technology of UHV AC power transmission equipment[J]. High Voltage Engineering,2016,42(4):1068-1078.

李军浩,韩旭涛,刘泽辉,等.电气设备局部放电检测技术述评[J].高电压技术,2015,41(8):2583-2601.

Li Junhao, Han Xutao, Liu Zehui, et al. Review on partial discharge measurement technology of electrical equipment[J]. High Voltage Engineering,2015,41(8):2583-2601.

国家电网有限公司设备管理部,中国电力科学研究院有限公司.国家电网公司开关类设备近五年运行情况分析(2014—2018年)[R].2019-02-24.

Equipment Management Department of State Grid Corporation of China, China Electric Power Research Institute. Analysis on operation of switching equipment of state grid corporation of China in recent five years (2014—2018)[R].2019-02-24.

方庆,刘卫东,邓维,等.GIS设备内部缺陷的新型超声诊断技术[J].高压电器,2008,44(6):589-591.

Fang Qing, Liu Weidong, Deng Wei, et al. A new ultrasonic diagnosis technology for internal default of GIS equipment[J]. High Voltage Apparatus,2008,44(6):589-591.

马宏明,杨卓,谭向宇,等.三种GIS局部放电检测方法的比较分析研究[J].科学技术与工程,2013,13(2):309-314.

Ma Hongming, Yang Zhuo, Tan Xiangyu, et al. Study on the three kinds of GIS partial discharge detection[J]. Science Technology and Engineering,2013,13(2):309-314.

史文,杨正理,陈海霞,等. GIS中自由金属微粒缺陷局部放电信号特征分析[J].高压电器,2020,56(11):139-144.

Shi Wen, Yang Zhengli, Chen Haixia, et al. Characteristic analysis of partial discharge signals of free metal particle defects in GIS[J]. High Voltage Apparatus,2020,56(11):139-144.

唐炬,曾福平,范庆涛,等.基于荧光光纤检测GIS局部放电的多重分形谱识别[J].高电压技术,2014,40(2):465-473.

Tang Ju, Zeng Fuping, Fan Qingtao, et al. Multifractal spectrum identification of partial discharge in GIS based on fluorescence optical fiber detection[J]. High Voltage Engineering,2014,40(2):465-473.

任明,李信哲,王思云,等.基于雪崩面阵的气体绝缘放电光脉冲检测技术及传感性能研究[J].电网技术,2021,45(9):3627-3635.

Ren Ming, Li Xinzhe, Wang Siyun, et al. Gas insulated discharge optical pulse detection technology and sensing performance based on avalanche diode array[J]. Power System Technology,2021,45 (9):3627-3635.

司文荣,李军浩,袁鹏,等.局部放电光测法的研究现状与发展[J].高压电器,2008,44(3):261-264,279.

Si Wenrong, Li Junhao, Yuan Peng, et al. Current situation and development of optical detection for partial discharge[J]. High Voltage Apparatus,2008,44(3):261-264,279.

吴治诚,张乔根,宋佳洁,等.GIS内自由导电微粒缺陷的局部放电相位图谱[J].高电压技术,2019,45(6):1995-2002.

Wu Zhicheng, Zhang Qiaogen, Song Jiajie, et al. Phase resolved partial discharge pattern of free conductive particle defects in GIS[J]. High Voltage Engineering,2019,45(6):1995-2002.

毛建坤,汤会增,洪西凯,等. SF 6 气体分解物组份检测法在GIS局部放电故障诊断中的应用[J ] .电气技术,2016(8):99-102.

Mao Jiankun, Tang Huizeng, Hong Xikai, et al. Application of SF 6 gas decomposition component detection method in the diagnosis of partial discharge inGIS[J ] . Electrical Engineering,2016(8):99-102.

Schlemper H D, Feser K. Estimation of mass and length of moving particles in GIS by combined acoustical and electrical PD detection[C]//Proceedings of Conference on Electrical Insulation and Dielectric Phenomena-CEIDP,1996:90-93.

Schlemper H D, Feser K. Characterization of moving particles in GIS by acoustic and electric partial discharge detection[C]//1996 IEEE Conference on Electrical Insulation and Dielectric Phenomena(CEIDP),1996:90-93.

Runde M, Aurud T. Risk assessment basis of moving particles in gas insulated substations[C]//IEEE Transactions on Power Delivery,1997:714-721.

黎大健,杨景刚,米楚明,等.基于超声波信号的GIS内自由金属颗粒危险评估研究[J].高压电器,2010,46(1):53-57.

Li Dajian, Yang Jinggang, Mi Chuming, et al. Risk assessment of basis of free metallic particles in GIS based on ultrasonic signal[J]. High Voltage Apparatus,2010,46(1):53-57.

张彬,张周胜,于瑞冬,等.直流均匀电场下金属微粒运动状态与识别[J].电力科学与技术学报,2025,40(1):265-273.

Zhang Bin, Zhang Zhousheng, Yu Ruidong, et al. Motion state and identification of metal particles in a uniform DC electric field[J]. Journal of Electric Power Science and Technology,2025,40(1):265-273.

尉元龙,何柏娜,崔荣喜,等.金属微粒对直流GIL盆式绝缘子电场的影响[J].电力工程技术,2025,44(5):198-207.

Wei Yuanlong, He Baina, Cui Rongxi, et al. Effect of metal particles on the electric field in DC GIL basin insulator[J]. Electric Power Engineering Technology,2025,44(5):198-207.

王健,李庆民,李伯涛,等.考虑非弹性随机碰撞与SF 6 /N 2 混合气体影响的直流GIL球形金属微粒运动行为研究[J ] .中国电机工程学报,2015,35(15):3971-3978.

Wang Jian, Li Qingmin, Li Botao, et al. Motion analysis of spherical conducting particle in DC GIL considering the influence of inelastic random collisions and SF 6 /N 2 gaseous mixture[J ] . Proceedings of the CSEE,2015,35(15):3971-3978.

Wu Zhicheng, Zhang Qiaogen, Song Jiajie, et al. Improved method for acoustic identification of free conductive particle defects in GIL[J]. IEEE Transactions on Power Delivery,2019,34(4):1317-1323.

Li Xiaoang, Li Jie, Ren Jing, et al. Acoustic method for multiple free metallic particle recognition in GIS/GIL[J]. IEEE Transactions on Power Delivery,2022,37(3):2104-2111.

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