Frequency-modulated Continuous-wave-based Distributed Sensing System for Partial Insulation Defect Localization in Distribution Cables: Impact on Connected Electrical Equipment

The accurate localization of partial insulation defects in cross-linked polyethylene (XLPE) distribution cables is critical for condition-based maintenance in smart power grids.In this study, we developed a frequency-modulated continuous wave (FMCW) diagnostic method that treats the cable as a distributed impedance sensor, enabling noninvasive detection under energized conditions.High-frequency current transformers and high-voltage coupling capacitors provide safe signal injection and extraction.Experiments on an energized 8.7/10 kV YJV cable (copper conductor cable with XLPE insulation and polyvinyl chloride sheath) demonstrate that the FMCW method achieves consistent localization accuracy, with a measured defect at 22.18 m (standard deviation = 0.11 m), which corresponds to a relative error of only 0.82% across 30 repeated trials.Transformer integration reduced the terminal reflection peak amplitude by 7.768%, and the defect-induced reflection peak decreased by only 0.836%, confirming that defect reflections act as independent scattering centers decoupled from boundary perturbations.Localization error remained stable at approximately 5% under both isolated and transformercoupled conditions.These results indicate the robustness of FMCW sensing against terminal impedance variations and highlight its superiority over conventional reflectometry methods.The results of this study provide a theoretical basis for deploying FMCW-based distributed sensing systems in resilient power distribution networks, enabling the reliable online monitoring of insulation health under practical operating conditions.

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Publication Details

Journal
Sensors and Materials
Published
2026-08-27
DOI
https://doi.org/10.18494/sam6422
Primary Topic
Electrical Fault Detection and Protection
Type
article
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article

Frequency-modulated Continuous-wave-based Distributed Sensing System for Partial Insulation Defect Localization in Distribution Cables: Impact on Connected Electrical Equipment

Ruihui Han, Jie Sheng, Zhongyu Wang, Dewen Zhang et al.
Sensors and Materials
Electrical Fault Detection and Protection
article

Frequency-modulated Continuous-wave-based Distributed Sensing System for Partial Insulation Defect Localization in Distribution Cables: Impact on Connected Electrical Equipment

Ruihui Han, Jie Sheng, Zhongyu Wang, Dewen Zhang, Ziheng Wang, Mingyu Xu
article en

Abstract

The accurate localization of partial insulation defects in cross-linked polyethylene (XLPE) distribution cables is critical for condition-based maintenance in smart power grids.In this study, we developed a frequency-modulated continuous wave (FMCW) diagnostic method that treats the cable as a distributed impedance sensor, enabling noninvasive detection under energized conditions.High-frequency current transformers and high-voltage coupling capacitors provide safe signal injection and extraction.Experiments on an energized 8.7/10 kV YJV cable (copper conductor cable with XLPE insulation and polyvinyl chloride sheath) demonstrate that the FMCW method achieves consistent localization accuracy, with a measured defect at 22.18 m (standard deviation = 0.11 m), which corresponds to a relative error of only 0.82% across 30 repeated trials.Transformer integration reduced the terminal reflection peak amplitude by 7.768%, and the defect-induced reflection peak decreased by only 0.836%, confirming that defect reflections act as independent scattering centers decoupled from boundary perturbations.Localization error remained stable at approximately 5% under both isolated and transformercoupled conditions.These results indicate the robustness of FMCW sensing against terminal impedance variations and highlight its superiority over conventional reflectometry methods.The results of this study provide a theoretical basis for deploying FMCW-based distributed sensing systems in resilient power distribution networks, enabling the reliable online monitoring of insulation health under practical operating conditions.

Sensors and MaterialsVol. 38(8)
Heilongjiang Electric Power Workers University (CN)
Affordable and clean energy
Openalex Percentile: Top 19%
Electrical Fault Detection and Protection
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