Evidence map›Paper›PMID 41491360›Full record

ArticleScientific reports2026

A novel approach for high impedance fault detection in resonant grounding systems based on statistical characteristics.

Qinglin Meng, Yuan Gao, Sheharyar Hussain, Ying He, Botong Li

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Qinglin MengGreen Power Research Institute, Tianjin Renai College, Tianjin, 301636, China. qinglin.meng@ieee.org.
Yuan GaoGreen Power Research Institute, Tianjin Renai College, Tianjin, 301636, China. gaoyuan2000@ieee.org.
Sheharyar HussainGreen Power Research Institute, Tianjin Renai College, Tianjin, 301636, China. ee.sbangash@zju.edu.cn.
Ying HeGreen Power Research Institute, Tianjin Renai College, Tianjin, 301636, China. heying@tjrac.edu.cn.
Botong LiSchool of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, China. libotong@tju.edu.cn.

Funding

Science and Technology Project of State Grid No.5108-202218280A-2-370-XG
6 · The paper itself

Abstract

High impedance faults (HIF) in the resonant grounding system of distribution networks pose significant challenges for traditional protection devices, which often fail to detect and eliminate these faults promptly. The difficulty in setting an appropriate threshold and ensuring reliable detection at low signal-to-noise ratios further complicates the issue. To overcome these limitations, this paper presents a novel approach that analyzes the kurtosis and skewness characteristics of the single-phase high-impedance grounding zero-sequence current waveform, using the Emanuel model as a basis. The proposed method detects HIF based on a kurtosis threshold and pinpoints the faulted line using the skewness coefficient, introducing a more reliable and precise detection technique. Simulation and field tests validate the robustness of this approach, demonstrating strong resistance to noise interference and enhanced fault detection capabilities.

Indexed as

Distribution networkFault detectionFaulty line selectionHigh impedance faultResonant grounding system

Identifiers

PMID41491360
PMCPMC12830658

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.