Development of a Platform to Enable Real Time, Non-disruptive Testing and Early Fault Detection of Critical High Voltage Transformers and Switchgears in High Speed-rail
Jiawei Fan, Ming Zhu, Yingtao Jiang, Hualiang Teng

TL;DR
This paper presents a hardware platform that enables real-time, non-disruptive detection of partial discharges in high-voltage components of high-speed rail systems using RF signals, improving safety and maintenance.
Contribution
The development of a real-time RF-based PD detection system with cloud connectivity for high-speed rail transformers and switchgears is a novel approach for early fault detection.
Findings
System accurately captures RF signals for PD detection
Real-time monitoring enhances safety and reliability
Remote access facilitates maintenance response
Abstract
Partial discharge (PD) incidents can occur in critical components of high-speed rail electric systems, such as transformers and switchgears, due to localized insulation defects that cannot withstand electric stress, leading to potential flashovers. These incidents can escalate over time, resulting in breakdowns, downtime, and safety risks. Fortunately, PD activities emit radio frequency (RF) signals, allowing for the development of a hardware platform for real-time, non-invasive PD detection and monitoring. The system uses an RF antenna and high-speed data acquisition to scan signals across a configurable frequency range (100MHz to 3GHz), utilizing intermediate frequency modulation and sliding frequency windows for detailed analysis. When signals exceed a threshold, the system records the events, capturing both raw signal data and spectrum snapshots. Real-time data is streamed to a…
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Taxonomy
TopicsPower Systems and Technologies · Engineering and Test Systems · Machine Fault Diagnosis Techniques
