Research on Partial Discharge Signal Detection Technology of Cable Joints Based on a Dynamic Multi-Notch Method

Aiming at solving the detection problems caused by weak partial discharge signals of underground cable joints and random and variable spatial electromagnetic wave interference, a non-contact detection technology based on the dynamic multi-notch method is proposed. This technology synchronously collects pure interference signals and mixed signals containing partial discharge through a dual-position detection antenna. After converting to the frequency domain via Fast Fourier Transform (FFT), the notch frequency bands are dynamically determined based on the real-time interference spectrum, and interference suppression is achieved by frequency domain zeroing filtering. Finally, the partial discharge pulse signal is restored through Inverse Fast Fourier Transform (IFFT). A simulation experiment platform for 10 kV XLPE cable joints was built to verify the detection of typical defects such as metal debris, insulation scratches, and conductor burrs. Experimental results show that the average extraction success rate of this method for weak partial discharge signals reaches 94.7%, and the detection accuracy is ≥92.3% in a normal environment without strong interference, which is significantly better than the traditional ultra-high frequency (UHF) detection method (45.8%) and the fixed notch method (68.3%). This technology realizes the accurate detection of weak partial discharge signals in complex environments, provides a reliable solution for the early warning of insulation defects in underground cable intermediate joints, and has important engineering application value.

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Publication Details

Journal
Energies
Published
2026-04-26
DOI
https://doi.org/10.3390/en19092092
Primary Topic
High voltage insulation and dielectric phenomena
Type
article
Field-Weighted Citation Impact
0.00

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Research on Partial Discharge Signal Detection Technology of Cable Joints Based on a Dynamic Multi-Notch Method

Yongfeng Wu, Yinghua Xu, Shiping Zhang
Energies
High voltage insulation and dielectric phenomena
article

Research on Partial Discharge Signal Detection Technology of Cable Joints Based on a Dynamic Multi-Notch Method

Yongfeng Wu, Yinghua Xu, Shiping Zhang
article en

Abstract

Aiming at solving the detection problems caused by weak partial discharge signals of underground cable joints and random and variable spatial electromagnetic wave interference, a non-contact detection technology based on the dynamic multi-notch method is proposed. This technology synchronously collects pure interference signals and mixed signals containing partial discharge through a dual-position detection antenna. After converting to the frequency domain via Fast Fourier Transform (FFT), the notch frequency bands are dynamically determined based on the real-time interference spectrum, and interference suppression is achieved by frequency domain zeroing filtering. Finally, the partial discharge pulse signal is restored through Inverse Fast Fourier Transform (IFFT). A simulation experiment platform for 10 kV XLPE cable joints was built to verify the detection of typical defects such as metal debris, insulation scratches, and conductor burrs. Experimental results show that the average extraction success rate of this method for weak partial discharge signals reaches 94.7%, and the detection accuracy is ≥92.3% in a normal environment without strong interference, which is significantly better than the traditional ultra-high frequency (UHF) detection method (45.8%) and the fixed notch method (68.3%). This technology realizes the accurate detection of weak partial discharge signals in complex environments, provides a reliable solution for the early warning of insulation defects in underground cable intermediate joints, and has important engineering application value.

EnergiesVol. 19(9)
Harbin Institute of Technology (CN), Hunan Institute of Engineering (CN)
Education Department of Hunan Province
Openalex Percentile: Top 9%
High voltage insulation and dielectric phenomena
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Research on Partial Discharge Signal Detection Technology of Cable Joints Based on a Dynamic Multi-Notch Method — Yongfeng Wu, Yinghua Xu, et al. · Energies (2026) | TGRS Research Map | TGRS