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Article

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

1
College of Engineering and Technology, Southwest University, Chongqing 400716, China
2
Ultra High Voltage Branch of State Grid Chongqing Electric Power Company, Chongqing 400716, China
3
College of Electrical Engineering, Chongqing University, Chongqing 400716, China
*
Author to whom correspondence should be addressed.
Electronics 2025, 14(3), 622; https://doi.org/10.3390/electronics14030622
Submission received: 31 December 2024 / Revised: 31 January 2025 / Accepted: 3 February 2025 / Published: 5 February 2025
(This article belongs to the Special Issue Advanced Online Monitoring and Fault Diagnosis of Power Equipment)

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.
Keywords: cross-bonded cables; distribution parameter modelling; grounding system defects; PSO-SVM algorithm; defect identification and localization; sheath voltage and current characteristics cross-bonded cables; distribution parameter modelling; grounding system defects; PSO-SVM algorithm; defect identification and localization; sheath voltage and current characteristics

Share and Cite

MDPI and ACS Style

Zhang, Q.; Li, K.; Chen, L.; Luo, J.; Zhao, Z. Identification and Localization Study of Grounding System Defects in Cross-Bonded Cables. Electronics 2025, 14, 622. https://doi.org/10.3390/electronics14030622

AMA Style

Zhang Q, Li K, Chen L, Luo J, Zhao Z. Identification and Localization Study of Grounding System Defects in Cross-Bonded Cables. Electronics. 2025; 14(3):622. https://doi.org/10.3390/electronics14030622

Chicago/Turabian Style

Zhang, Qiying, Kunsheng Li, Lian Chen, Jian Luo, and Zhongyong Zhao. 2025. "Identification and Localization Study of Grounding System Defects in Cross-Bonded Cables" Electronics 14, no. 3: 622. https://doi.org/10.3390/electronics14030622

APA Style

Zhang, Q., Li, K., Chen, L., Luo, J., & Zhao, Z. (2025). Identification and Localization Study of Grounding System Defects in Cross-Bonded Cables. Electronics, 14(3), 622. https://doi.org/10.3390/electronics14030622

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