Detection of Small Defects in Composite Insulators Using Terahertz Technique and Deconvolution Method

被引:34
|
作者
Mei, Hongwei [1 ]
Jiang, Huaiyuan [1 ]
Yin, Fanghui [1 ]
Li, Lanxin [1 ]
Wang, Liming [1 ]
机构
[1] Tsinghua Univ, Grad Sch Shenzhen, Shenzhen 518055, Peoples R China
关键词
Insulators; Air gaps; Time-domain analysis; Deconvolution; Surface waves; Reflection coefficient; Shape; Composite insulator; deconvolution; defect detection; terahertz (THz); time-domain spectroscopy;
D O I
10.1109/TIM.2020.2987407
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
After a long-term operation, defects may occur in composite insulators and threat the safe operation of power transmission. To secure the power transmission system, it would be beneficial to detect the defects in their initial stage. In this article, the terahertz technique combined with a deconvolution method was proposed, and a terahertz time-domain spectroscopy system was built. To validate the method proposed, three types of defects, namely, single air gap defect, inclusion defect, and double-layer air gap defect were artificially prepared and tested. According to the test results, it was found that compared with the traditional terahertz method, the air gap size that could lead to pulse overlapping was reduced from 1.22 to 0.57 mm. After the deconvolution process, air gap defect as small as 0.173 mm could be distinguished due to the shape characteristics of unipolar pulse. It was also found that when the defect was damp, the obtained waveform near the defect became smooth. The results of this article demonstrate that terahertz time-domain spectroscopy (THz-TDS), combined with the deconvolution method, can have high potential in the detection of defects in composite insulators.
引用
收藏
页码:8146 / 8155
页数:10
相关论文
共 50 条
  • [1] Terahertz Detection of Interface Defects Within Composite Insulators Using a Gated Recurrent Neural Network
    Li, Yu
    Xie, Congzhen
    Gou, Bin
    Yu, Song
    Yang, Chang
    IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2024, 31 (02) : 704 - 712
  • [2] Detection Method of Interfacial Defects of Composite Insulators Based on THz Wave
    Zhang Z.
    Mei H.
    Liu J.
    Wu W.
    Wang L.
    Li L.
    Jiang H.
    Yuan G.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2020, 40 (03): : 989 - 998
  • [3] Detection of Internal Defects of Full-Size Composite Insulators Based on Microwave Technique
    Mei, Hongwei
    Jiang, Huaiyuan
    Chen, Jie
    Yin, Fanghui
    Wang, Liming
    Farzaneh, Masoud
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70 (70)
  • [4] Defects Detection Method for Composite Insulators Based on Frequency Thermal Characteristics Imaging
    Liu L.
    Guo C.
    Wang L.
    Mei H.
    Yu H.
    Ma Y.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2019, 39 (08): : 2498 - 2505
  • [5] Non-destructive Testing of Internal Defects in Composite Insulators Using Microwave Technique
    Li, Ang
    Wang, Liming
    Mei, Hongwei
    Cheng, Li
    2015 IEEE CONFERENCE ON ELECTRICAL INSULATION AND DIELECTRIC PHENOMENA (CEIDP), 2015, : 668 - 671
  • [6] Terahertz Imaging Method for Composite Insulator Defects Based on Edge Detection Algorithm
    Mei, Hongwei
    Jiang, Huaiyuan
    Yin, Fanghui
    Wang, Liming
    Farzaneh, Masoud
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70
  • [7] Microwave Detection Technology for Internal Defects of Composite Post Insulators
    Jiang, Huaiyuan
    Mei, Hongwei
    Zou, Xiaobing
    Li, Lanxin
    Wang, Liming
    PROCEEDINGS OF 2020 INTERNATIONAL SYMPOSIUM ON ELECTRICAL INSULATING MATERIALS (ISEIM 2020), 2020, : 513 - 516
  • [8] Ultrasonic Phased Array Detection of Internal Defects in Composite Insulators
    Yuan, Chao
    Xie, Congzhen
    Li, Licheng
    Zhang, Fuzeng
    Gubanski, Stanislaw M.
    IEEE TRANSACTIONS ON DIELECTRICS AND ELECTRICAL INSULATION, 2016, 23 (01) : 525 - 531
  • [9] Detection of Composite Insulators Inner Defects Based on Flash Thermography
    Qiao, Z.
    Cheng, L.
    Zhang, S.
    Yang, L.
    Guo, C.
    2017 1ST INTERNATIONAL CONFERENCE ON ELECTRICAL MATERIALS AND POWER EQUIPMENT (ICEMPE), 2017, : 359 - 363
  • [10] Ultrasonic total focusing method for internal defects in composite insulators
    Hu, Hongwei
    Huang, Jinhan
    Lyu, Duo
    Liu, Wenzheng
    Xu, Xiaoqiang
    INSIGHT, 2024, 66 (06) : 346 - 352