Noninvasive Measurement Techniques for Ice Detection and Electrical Parameter Monitoring in Railway Transmission Systems

IF 4.5 2区 综合性期刊 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
IEEE Sensors Journal Pub Date : 2026-10-15 Epub Date: 2026-08-18 DOI:10.1109/JSEN.2026.3722913
Junyan Yuan;Bangjie Xia;Yalong Mai;Yankai Xing;Haopeng An;Jian Li;Qi Huang
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引用次数: 0

Abstract

The overhead contact system (OCS) is an important component of the traction power supply system of electrified railways, which is prone to forming ice and snow accretion under extreme terrain/climatic conditions, leading to the disruption of train operation. Thus, the monitoring of this phenomenon is particularly important. This article proposes a nonintrusive electric field measurement technology to monitor the icing state and contact line voltage. Through the double-probe electric field measurement array implied on the OCS, the detected signals are used to decouple and inversely solve the electric field information between the contact line and the track electrification feeder. This process can yield the voltage value of the contact line and the coordinates of its position. By analyzing the relative changes in the coordinate positions, it is possible to determine whether ice or snow accretion has occurred. Furthermore, this article aims to minimize measurement errors by using data fitting to optimize the probe distribution angles. Simulation case studies with and without feeder line of track electrification, as well as simulation experiments, demonstrate that this method can effectively monitor the voltage of the contact line and its state changes caused by external factors. This provides a flexible and adjustable online monitoring strategy for the electrified railway traction power supply system and lays a theoretical and technical foundation for anti-icing research.
铁路传输系统结冰检测和电气参数监测的无创测量技术
架空接触系统(OCS)是电气化铁路牵引供电系统的重要组成部分,在极端地形/气候条件下容易形成冰雪堆积,导致列车运行中断。因此,监测这一现象尤为重要。本文提出了一种非侵入式电场测量技术,用于监测结冰状态和接触线电压。通过OCS上隐含的双探头电场测量阵列,利用检测到的信号对接触线与轨道电气化馈线之间的电场信息进行解耦和反求解。这个过程可以得到接触线的电压值及其位置坐标。通过分析坐标位置的相对变化,可以确定是否发生了冰或雪的增生。此外,本文旨在通过数据拟合来优化探针分布角,以最大限度地减少测量误差。通过有馈线和无馈线的轨道电气化仿真实例研究和仿真实验,表明该方法能有效监测接触线电压及其由外界因素引起的状态变化。为电气化铁路牵引供电系统提供了灵活可调的在线监测策略,为防冰研究奠定了理论和技术基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
IEEE Sensors Journal
IEEE Sensors Journal 工程技术-工程:电子与电气
CiteScore
7.70
自引率
14.00%
发文量
2058
审稿时长
5.2 months
期刊介绍: The fields of interest of the IEEE Sensors Journal are the theory, design , fabrication, manufacturing and applications of devices for sensing and transducing physical, chemical and biological phenomena, with emphasis on the electronics and physics aspect of sensors and integrated sensors-actuators. IEEE Sensors Journal deals with the following: -Sensor Phenomenology, Modelling, and Evaluation -Sensor Materials, Processing, and Fabrication -Chemical and Gas Sensors -Microfluidics and Biosensors -Optical Sensors -Physical Sensors: Temperature, Mechanical, Magnetic, and others -Acoustic and Ultrasonic Sensors -Sensor Packaging -Sensor Networks -Sensor Applications -Sensor Systems: Signals, Processing, and Interfaces -Actuators and Sensor Power Systems -Sensor Signal Processing for high precision and stability (amplification, filtering, linearization, modulation/demodulation) and under harsh conditions (EMC, radiation, humidity, temperature); energy consumption/harvesting -Sensor Data Processing (soft computing with sensor data, e.g., pattern recognition, machine learning, evolutionary computation; sensor data fusion, processing of wave e.g., electromagnetic and acoustic; and non-wave, e.g., chemical, gravity, particle, thermal, radiative and non-radiative sensor data, detection, estimation and classification based on sensor data) -Sensors in Industrial Practice
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