Graded Diagnosis of 110 kV Porcelain Insulator Degradation based on Spatial Electric Field Distribution

A graded diagnosis method for 110 kV porcelain insulator degradation is proposed based on spatial electric-field distribution. The study is limited to a seven-disc 110 kV porcelain suspension insulator string so that modeling, feature extraction, and validation remain focused on one practical operating scenario. First, a finite-element baseline model is built for the healthy 110 kV porcelain insulator string to obtain the axial electric-field distribution pattern. Second, continuous RMS samples acquired by an unmanned-aerial-vehicle-mounted all-fiber electric-field sensor are converted into electric-field intensity, interpolated, divided into seven adaptive segments, and represented by trimmed-mean disc-level features. Finally, a dual-index decision rule combining a dynamic-rate ratio and a standard-deviation ratio is developed, followed by a four-level disc degradation grading model. Laboratory experiments on 110 kV seven-disc strings show that the method can locate degraded discs and provide severity grades. In the tested cases, the recall is higher than 94.5%, the false alarm rate is below 5.5%, and a single analysis takes less than 15 s.

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Publication Details

Journal
International Journal of Energy
Published
2026-10-30
DOI
https://doi.org/10.54097/29dpjk54
Primary Topic
High voltage insulation and dielectric phenomena
Type
article
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article

Graded Diagnosis of 110 kV Porcelain Insulator Degradation based on Spatial Electric Field Distribution

Jiong Liu, Ming Liang, Yongsheng Wang, Huan Tang et al.
International Journal of Energy
High voltage insulation and dielectric phenomena
article

Graded Diagnosis of 110 kV Porcelain Insulator Degradation based on Spatial Electric Field Distribution

Jiong Liu, Ming Liang, Yongsheng Wang, Huan Tang, Le Yang
article en

Abstract

A graded diagnosis method for 110 kV porcelain insulator degradation is proposed based on spatial electric-field distribution. The study is limited to a seven-disc 110 kV porcelain suspension insulator string so that modeling, feature extraction, and validation remain focused on one practical operating scenario. First, a finite-element baseline model is built for the healthy 110 kV porcelain insulator string to obtain the axial electric-field distribution pattern. Second, continuous RMS samples acquired by an unmanned-aerial-vehicle-mounted all-fiber electric-field sensor are converted into electric-field intensity, interpolated, divided into seven adaptive segments, and represented by trimmed-mean disc-level features. Finally, a dual-index decision rule combining a dynamic-rate ratio and a standard-deviation ratio is developed, followed by a four-level disc degradation grading model. Laboratory experiments on 110 kV seven-disc strings show that the method can locate degraded discs and provide severity grades. In the tested cases, the recall is higher than 94.5%, the false alarm rate is below 5.5%, and a single analysis takes less than 15 s.

International Journal of EnergyVol. 10(3)
China Power Engineering Consulting Group (China) (CN), Xi'an Jiaotong University (CN)
Openalex Percentile: Top 29%
High voltage insulation and dielectric phenomena
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