Evidence map›Paper›PMID 41516738›Full record

ArticleSensors (Basel, Switzerland)2026

Simulation Study on Anti-Interference Performance Degradation of GIS UHF Sensors Based on Substation White Noise Reconstruction.

Lujia Wang, Yongze Yang, Zixi Zhu, Haitao Yang, Jie Wu, Xingwang Wu, Yiming Xie

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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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

7 authors.

Lujia WangSchool of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0000-0003-2726-0593
Yongze YangSchool of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China.ORCID 0009-0000-9430-7879
Zixi ZhuSchool of Electrical Engineering, China University of Mining and Technology, Xuzhou 221116, China.
Haitao YangElectric Power Research Institute, State Grid Anhui Electric Power Co., Ltd., Hefei 230601, China.
Jie WuElectric Power Research Institute, State Grid Anhui Electric Power Co., Ltd., Hefei 230601, China.ORCID 0000-0001-7160-0140
Xingwang WuElectric Power Research Institute, State Grid Anhui Electric Power Co., Ltd., Hefei 230601, China.
Yiming XieElectric Power Research Institute, State Grid Anhui Electric Power Co., Ltd., Hefei 230601, China.

Funding

State Grid Anhui Electric Power Co., Ltd. Science and Technology Project 52120524000S
6 · The paper itself

Abstract

The ultra-high frequency (UHF)-based partial discharge (PD) detection technology for gas-insulated switchgear (GIS) has achieved large-scale applications due to its high sensitivity and real-time monitoring capabilities. However, long-term service-induced antenna corrosion in UHF sensors may lead to degraded reception characteristics. To ensure the credibility of monitoring data, on-site sensor calibration under ambient noise conditions is required. This study first analyzes the time-frequency domain characteristics of white noise received by UHF sensors in GIS environments. Leveraging the transceiver reciprocity principle of sensors, a noise reconstruction method based on external sensors is proposed to simulate on-site white noise. Subsequently, CST simulation models are established for both standard and degraded sensors, quantifying the impact of factors like antenna corrosion on performance parameters such as echo impedance S11 and voltage standing wave ratio (VSWR). Finally, the two sensor models are coupled into GIS handholes for comparative simulation analysis. Results show that antenna corrosion causes resonant frequency shifts in sensors, reducing PD signal power by 55.27% and increasing noise power by 64.11%. The signal-to-noise ratio (SNR) decreases from -9.70 dB to -15.34 dB, with evident waveform distortion in the double-exponential PD pulses. These conclusions provide theoretical references for on-site UHF sensor calibration in noisy environments.

Indexed as

GISpartial dischargesensorswhite noise

Identifiers

PMID41516738
PMCPMC12788345

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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.