Condition Monitoring of Cap and Pin Insulator String by Electric Field Mapping Using Electro-Optical Probes With FEA Model Validation

Cap and pin insulators are widely used in electricity transmission towers in power systems and are one of their key functional elements. This paper reports on a successful application of using electric field as an index to detect and locate shorted insulator units in a cap and pin string. Electro-optical (EO) probes were used to measure the electrical field, and a six axis robotic arm, holding the probes, enabled electrical field mapping at different spatial locations. The electric field distribution was first plotted according to the measurements performed by EO probes travelling along straight lines parallel to the string, and then a closer examination between insulator sheds was conducted to evaluate the possibility of higher accuracy locating of shorted insulator units. The measured changes in electric field distribution were compared with predictions from corresponding electrostatic finite element analysis (FEA) models, confirming the ability of locating shorted units in the string based on observation of the field spatial distribution change. The electric field monitoring system was also further developed to achieve operator-free and automated data acquisition and recording. The reported methodology exhibits promising potential in live condition monitoring of insulator strings in high voltage (HV) towers.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Power Delivery
Published
2025-10-20
DOI
https://doi.org/10.1109/tpwrd.2025.3624014
Citations
1
Primary Topic
Integrated Circuits and Semiconductor Failure Analysis
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Condition Monitoring of Cap and Pin Insulator String by Electric Field Mapping Using Electro-Optical Probes With FEA Model Validation

Ian Cotton, Siniša Djurović, Gwenaël Gaborit, Stephen Mbisike et al.
1 citations
IEEE Transactions on Power Delivery
Integrated Circuits and Semiconductor Failure Analysis
0.73
article

Condition Monitoring of Cap and Pin Insulator String by Electric Field Mapping Using Electro-Optical Probes With FEA Model Validation

Ian Cotton, Siniša Djurović, Gwenaël Gaborit, Stephen Mbisike, Vidyadhar Peesapati, Harry McDonald, Lionel Duvillaret, Ramy S. A. Afia, Fang Liu, Khristopher Kabbabe, Andrew West, Erwin Lopez, D. D. Stewart
article en
1 citations

Abstract

Cap and pin insulators are widely used in electricity transmission towers in power systems and are one of their key functional elements. This paper reports on a successful application of using electric field as an index to detect and locate shorted insulator units in a cap and pin string. Electro-optical (EO) probes were used to measure the electrical field, and a six axis robotic arm, holding the probes, enabled electrical field mapping at different spatial locations. The electric field distribution was first plotted according to the measurements performed by EO probes travelling along straight lines parallel to the string, and then a closer examination between insulator sheds was conducted to evaluate the possibility of higher accuracy locating of shorted insulator units. The measured changes in electric field distribution were compared with predictions from corresponding electrostatic finite element analysis (FEA) models, confirming the ability of locating shorted units in the string based on observation of the field spatial distribution change. The electric field monitoring system was also further developed to achieve operator-free and automated data acquisition and recording. The reported methodology exhibits promising potential in live condition monitoring of insulator strings in high voltage (HV) towers.

IEEE Transactions on Power DeliveryVol. 41(1)
National Grid (United States) (US), University of Manchester (GB), National Grid (United Kingdom) (GB), Université Savoie Mont Blanc (FR)
Openalex Percentile: Top 22%
Integrated Circuits and Semiconductor Failure Analysis
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.