• Home
  • Search
  • Degraded Composite Insulator Detection Method based on Spatial Electric Field Measurement
  • https://doi.org/10.1109/tdei.2026.3663341Copy DOI Icon

Degraded Composite Insulator Detection Method based on Spatial Electric Field Measurement

Show More
  • Abstract
  • Literature Map
  • Similar Papers
Abstract

Composite insulator degradation poses severe risks to power grid stability, rendering live detection of internal defects critically significant. The electric field detection method, as a non-contact solution, suffers from lack of field measurement data and unclear criteria for electric field-based degradation identification. To address this challenge, field samples of composite insulators with decayed and carbonized core rods are selected, and electric field distribution tests are conducted to capture the fundamental distortion characteristics induced by degradation. Subsequently, artificial simulation experiments are performed to investigate local electric field distortion characteristics under varying degradation severities, positions, detection distances and different installment configurations. Based on these findings, a four-array local electric field detection method and criteria are proposed and validated through testing on field-degraded insulators. The results indicate that the four-array detection method effectively identifies carbonization and decay defects in composite insulator core rods, with characteristic criteria being that the ratio of maximum to minimum electric field amplitudes Q<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub> satisfies 1<Q<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">1</sub><1.4~1.6;the ratio of maximum electric field amplitude to the average of the other three probes Q<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> satisfies 1<Q<sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub><1.3~1.5;and the electric field variation coefficient ΔE<10. These findings provide technical support for intelligent operation and maintenance of external insulation in power transmission and distribution systems.

Similar Papers
  • Conference Article

UV live detection system for aging and fracture of composite insulator core rods

  • Oct 28, 2025
  • Wei Guo +5
  • Conference Article

Influence of Detection Method Based on Electric Field Method on Electric Field Distribution of Composite Insulators Containing Conductive Defects

  • Nov 01, 2019
  • Wu Tian +5
  • PDF
  • Research Article
  • Citations10

Research on Electric Field Detection of Degraded Insulators Based on a Sensitive Detection Method under Complex Operating Conditions

  • Jun 02, 2022
  • Applied Sciences
  • Song Gao +6
  • Research Article
  • Citations105

Experience with the detection of faulty composite insulators on high-voltage power lines by the electric field measurement method

  • Apr 01, 1998
  • IEEE Transactions on Power Delivery
  • G.H Vaillancourt +2
  • Book Chapter

Electric and Magnetic Fields and Occupational Health

  • Apr 16, 2001
  • Patty's Toxicology
  • Leeka I Kheifets
  • Research Article
  • Citations12

Characterizing the local vectorial electric field near an atom chip using Rydberg-state spectroscopy

  • Jul 25, 2017
  • Physical Review A
  • N Cisternas +5
  • PDF
  • Research Article
  • Citations2

Measurement of low-frequency electric field waveform by Rydberg atom-based sensor

  • Jan 01, 2024
  • Acta Physica Sinica
  • Xue-Chao Zhang +8
  • Conference Article
  • Citations1

Research on Operation State Assessment of Electric Power Composite Insulator Based on Visual Deep Learning and 3D E-field Simulation Technology

  • Jul 01, 2019
  • Zhang Shiling +2
  • Research Article

Electric field stress mitigation on overhead line high voltage composite insulator

  • Dec 17, 2024
  • Brazilian Applied Science Review
  • Guia Talal +2
  • Conference Article
  • Citations1

Feature Mining Method Based on Deep Learning for Underwater Electric Field Prediction in Marine Environment

  • May 10, 2023
  • Pei Cui +4
  • PDF
  • Research Article
  • Citations32

A Review of the Dynamic Modelling of Pollution Flashover on High Voltage Outdoor Insulators

  • Jul 01, 2018
  • Journal of Physics: Conference Series
  • Ali A Salem +1
  • Book Chapter

Photonics and Its Application in High-Voltage Engineering

  • Sep 23, 2019
  • Nirmal Kumar Roy
  • Research Article
  • Citations2

Fabrication of a sharp Si protrusion with a faceted apex grown from a surface-melted silicon wafer under high electric and magnetic fields: application to field emission electron sources

  • Jun 03, 2024
  • Japanese Journal of Applied Physics
  • Takashi Nishimura +1
  • Conference Article
  • Citations2

Influence of pollution and defects on the surface electric field distribution of overhead line HV composite insulator

  • Oct 18, 2020
  • Y Yahoui +3
  • Conference Article
  • Citations10

Voltage and E-field distribution of UHV composite insulator with connection of porcelain insulators

  • Jul 01, 2015
  • Jialong Wang +3
Cactus Communications logo

Copyright 2026 Cactus Communications. All rights reserved.