# Magnetic field sensing for 2D fault localization in underground power cables

**Authors:** Hamid Ali, Aamir Qamar, Nayef Alqahtani, Ali H. Alenezi, Faheem Ali, Zeashan Hameed Khan, Zeashan Hameed Khan, Zeashan Hameed Khan, Zeashan Hameed Khan

PMC · DOI: 10.1371/journal.pone.0334515 · PLOS One · 2025-10-16

## TL;DR

This paper introduces a magnetic field sensing method to locate faults in underground power cables without physical access, offering a practical and cost-effective solution.

## Contribution

A novel magnetic field sensing approach is proposed for 2D fault localization in underground cables.

## Key findings

- The proposed method achieves average simulation errors of 3.53% for line-to-line faults.
- Experimental results show 20% and 29% errors for line-to-ground and line-to-line faults.
- The method requires only a single magnetic field sensing device and minimal computational effort.

## Abstract

Localizing faults in underground cables is a two-dimensional inverse problem, including the depth as the vertical dimension and the horizontal distance from the supply point. In this paper, a new approach based on magnetic field sensing is developed to accurately locate faults in underground cables without physically accessing them. Three types of fault are addressed, line-to-ground fault (LGF), leakage current fault (LCF), and line-to-line fault (LLF). Based on magnetic field sensing, the cable is first localized. Afterwards, the depth is calculated using the Quotient method and finally, the horizontal distance is determined using Kirchhoff’s law (KVL). The simulation results show average errors of 5.25%, 4.77%, and 3.53% for LGF, LCF, and LLF. respectively, while the experimental results yield errors of 20% and 29% for LGF and LLF. These findings highlight the reliability of the proposed approach. Additionally, since the method requires only a single magnetic field sensing device with minimal computational effort, it offers a practical and cost-effective solution for the location of underground cable faults.

## Full-text entities

- **Diseases:** PD (MESH:D019522), LCF (MESH:D003763), LGF (MESH:D007815)
- **Chemicals:** PVC (MESH:D011143), GM09-3 (-), copper (MESH:D003300), Fa (MESH:D005492)
- **Species:** Homo sapiens (human, species) [taxon 9606]
- **Mutations:** A 1000V

## Full text

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## Figures

26 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12530618/full.md

## References

29 references — full list in the complete paper: https://tomesphere.com/paper/PMC12530618/full.md

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Source: https://tomesphere.com/paper/PMC12530618