Detection of buffer layer defects of in-service high-voltage cables

被引:0
|
作者
Chen Y. [1 ]
Ni S. [1 ]
Ma T. [1 ]
Chen D. [2 ]
Duan X. [1 ]
机构
[1] Chongqing Zhence Science and Technology Co., Ltd., Chongqing
[2] Research Institute, State Grid Jiangsu Electric Power Co., Ltd., Nanjing
关键词
buffer layer defect; high-voltage cables; local computed tomography; transfer learning;
D O I
10.19650/j.cnki.cjsi.J2210915
中图分类号
学科分类号
摘要
The ablation fault in the buffer layer is one of the main factors of high-voltage cable fault. Due to the complex on-site environment and the need to achieve a certain angle of relative rotation for CT detection of objects, there is no equipment for CT detection of high-voltage cables in service at present. A portable detection system for on-site application is designed by using the local CT imaging mode of X-ray source translation scanning and verified by experimental simulation and experimental platform, which realizes online CT detection of defects in high-voltage cable buffer layer in service. For the buffer layer of 110 kV high-voltage cable, the hole defect of Ø1 mm can be detected, and the defect of Ø2 mm can be detected for 220 kV high-voltage cable. After collecting 2 016 CT images with defects, combined with 802 circumferential CT images of cables with the similar structure, the method of migration learning is used to achieve automatic defect detection, with an accuracy rate of 87.6%, a recall rate of 93. 5%, and a missed detection rate of 6.5%, which are close to the level of circumferential CT. © 2023 Science Press. All rights reserved.
引用
收藏
页码:82 / 90
页数:8
相关论文
共 28 条
  • [1] Handbook of electric wire and cable, volume 3, (2009)
  • [2] CHEN Y., Fault characteristic and mechanism of high voltage XLPE cable buffer layer, (2019)
  • [3] SHEN J H, SHAO Y, TAN L, Et al., Overview of status quo and development of 27. 5 kV power supply cable insulation state detection for electrified railway, Electric Railway, 32, pp. 114-117, (2021)
  • [4] LI Y SH, Case study of 10 kV XLPE cable oscillation wave detection, Safety Health & Environment, 21, 10, pp. 24-27, (2021)
  • [5] JIN S, ZHANG R B, DU G., Partial discharge pattern recognition of cables considering attenuation of damped AC voltages, High Voltage Engineering, 47, 7, pp. 2583-2590, (2021)
  • [6] WANG Y Y, YAO ZH F, XIE W, Et al., Research on fault location of high temperature superconducting cable based on time-frequency domain reflectmetry, Proceedings of the CSEE, 41, 5, pp. 1540-1546, (2021)
  • [7] CHANG S J, LEE C K, LEE C K, Et al., Condition monitoring of instrumentation cable splices using Kalman filtering, IEEE Transactions on Instrumentation & Measurement, 64, 12, pp. 3490-3499, (2015)
  • [8] WANG Y H, ZHOU K, WANG X J, Et al., Power cable defects location based on improved time-frequency domain reflectometry, Proceedings of the CSEE, 41, 7, pp. 2584-2594, (2021)
  • [9] PU Y J, LIU G X, LI ZH L, Et al., Experimental study on eddy current testing of lead sealing defects in high voltage cable accessories, Shangdong Electric Power, 47, 2, pp. 56-60, (2020)
  • [10] CAO J P, SUN X T, WANG SH H, Et al., Research on crack detection of high voltage cable lead sealing based on eddy current technology, High Voltage Apparatus, 56, 8, pp. 168-175, (2020)