Identification and Localization Study of Grounding System Defects in Cross-Bonded Cables

Cross-bonded cables improve transmission efficiency by optimizing the grounding method. However, due to the complexity of their grounding system, they are prone to multiple types of defects, making defect state identification more challenging. Additionally, accurately locating sheath damage defects becomes more difficult in cases of high transition resistance. To address these issues, this paper constructs a distributed parameter circuit model for cross-bonded cables and proposes a particle swarm optimization support vector machine (PSO-SVM) defect classification model based on the sheath voltage and current phase angle and amplitude characteristics. This model effectively classifies 25 types of grounding system states. Furthermore, for two types of defects—open joints and sheath damage short circuits—this paper proposes an accurate segment-based location method based on fault impedance characteristics, using zero-crossing problems to achieve efficient localization. The results show that the distributed parameter circuit model for cross-bonded cables is feasible for simulating electrical quantities, as confirmed by both simulation and real-world applications. The defect classification model achieves an accuracy of over 97%. Under low transition resistance, the defect localization accuracy exceeds 95.4%, and the localization performance is significantly improved under high transition resistance. Additionally, the defect localization method is more sensitive to variations in cable segment length and grounding resistance impedance but less affected by fluctuations in core voltage and current.

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Publication Details

Journal
Electronics
Published
2025-02-05
DOI
https://doi.org/10.3390/electronics14030622
Primary Topic
Electrical Fault Detection and Protection
Type
article
Field-Weighted Citation Impact
0.00

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article

Identification and Localization Study of Grounding System Defects in Cross-Bonded Cables

Kunsheng Li, Zhongyong Zhao, Qiying Zhang, Jian Luo et al.
Electronics
Electrical Fault Detection and Protection
article

Identification and Localization Study of Grounding System Defects in Cross-Bonded Cables

Kunsheng Li, Zhongyong Zhao, Qiying Zhang, Jian Luo, Lian Chen
article en

Abstract

Cross-bonded cables improve transmission efficiency by optimizing the grounding method. However, due to the complexity of their grounding system, they are prone to multiple types of defects, making defect state identification more challenging. Additionally, accurately locating sheath damage defects becomes more difficult in cases of high transition resistance. To address these issues, this paper constructs a distributed parameter circuit model for cross-bonded cables and proposes a particle swarm optimization support vector machine (PSO-SVM) defect classification model based on the sheath voltage and current phase angle and amplitude characteristics. This model effectively classifies 25 types of grounding system states. Furthermore, for two types of defects—open joints and sheath damage short circuits—this paper proposes an accurate segment-based location method based on fault impedance characteristics, using zero-crossing problems to achieve efficient localization. The results show that the distributed parameter circuit model for cross-bonded cables is feasible for simulating electrical quantities, as confirmed by both simulation and real-world applications. The defect classification model achieves an accuracy of over 97%. Under low transition resistance, the defect localization accuracy exceeds 95.4%, and the localization performance is significantly improved under high transition resistance. Additionally, the defect localization method is more sensitive to variations in cable segment length and grounding resistance impedance but less affected by fluctuations in core voltage and current.

ElectronicsVol. 14(3)
Southwest University (CN), Chongqing University (CN), State Grid Corporation of China (China) (CN)
Fundamental Research Funds for the Central Universities, Science and Technology Project of State Grid
Openalex Percentile: Top 98%
Electrical Fault Detection and Protection
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