Research on Corrosion Diagnosis Methods for Substation Grounding Grids

Grounding grid is the key facility of substation, which is used to ensure the safety of equipment and personnel. Corrosion in soil will increase its resistance and lead to the failure of protection function, so corrosion detection is very important. The existing methods (such as sampling excavation and resistance tester) are inefficient and vulnerable to interference. In this paper, a non-contact magnetic field detection method is proposed: injecting specific frequency current into the grounding grid, using wavelet transform to reconstruct the magnetic field signal, and using Particle Swarm Optimization-Support Vector Machine (PSO-SVM) algorithm to diagnose the corrosion degree. Experiments show that this method is more accurate than the traditional SVM algorithm.

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Publication Details

Published
2025-06-20
DOI
https://doi.org/10.1109/icesep66633.2025.11155249
Primary Topic
Power Line Inspection Robots
Type
article
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article

Research on Corrosion Diagnosis Methods for Substation Grounding Grids

Shaomin Wu, Yunan Wang, Jianxin Wang, Tianpeng Wang
Power Line Inspection Robots
article

Research on Corrosion Diagnosis Methods for Substation Grounding Grids

Shaomin Wu, Yunan Wang, Jianxin Wang, Tianpeng Wang
article en

Abstract

Grounding grid is the key facility of substation, which is used to ensure the safety of equipment and personnel. Corrosion in soil will increase its resistance and lead to the failure of protection function, so corrosion detection is very important. The existing methods (such as sampling excavation and resistance tester) are inefficient and vulnerable to interference. In this paper, a non-contact magnetic field detection method is proposed: injecting specific frequency current into the grounding grid, using wavelet transform to reconstruct the magnetic field signal, and using Particle Swarm Optimization-Support Vector Machine (PSO-SVM) algorithm to diagnose the corrosion degree. Experiments show that this method is more accurate than the traditional SVM algorithm.

Dongfang Electric Corporation (China) (CN)
Openalex Percentile: Top 75%
Power Line Inspection Robots
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Research on Corrosion Diagnosis Methods for Substation Grounding Grids — Shaomin Wu, Yunan Wang, et al. · (2025) | TGRS Research Map | TGRS