ArticleSensors (Basel, Switzerland)2025
Research on a Degradation Identification Method for GIS UHF Partial Discharge Sensors Based on S-Parameters.
Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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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.
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Who cites it
2 citing papers in PubMed.
- Intelligent UHF Sensor-Based Partial Discharge Fault Diagnosis in GIS Using a Temporal-Frequency Dual-Branch Stochastic Configuration Network.Sensors (Basel, Switzerland) · 2026Article
- Research and Implementation of Localization of Multiple Local Discharge Sources in Switchgear Based on Ultrasound.Sensors (Basel, Switzerland) · 2026Article
Corrections and comments
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Authors and funding
8 authors.
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Abstract
The ultra-high-frequency (UHF) detection method is highly accurate and has a fault localization function. At present, most gas-insulated switchgear (GIS) installations are equipped with online UHF monitoring devices to detect partial discharges. In order to ensure the accuracy of the detection results, UHF sensors need to be verified regularly. UHF sensors used for online monitoring are usually installed at the handhole of the GIS and cannot be removed. Measuring the laboratory verification indexes (e.g., equivalent height, dynamic range, etc.) of the sensors directly is very difficult. However, it is easier to measure
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Registered trials
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