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使用遗传算法选择通信线路浪涌保护模块组件。

Selection of Surge Protection Module Components for Communication Lines Using a Genetic Algorithm.

机构信息

Alstom ZWUS Sp. z o.o., 12 Modelarska Street, 40-142 Katowice, Poland.

The Faculty of Automatic Control, Electronics and Computer Science, The Silesian University of Technology, 16 Akademicka Street 16, 44-100 Gliwice, Poland.

出版信息

Sensors (Basel). 2022 Mar 8;22(6):2075. doi: 10.3390/s22062075.

Abstract

Among a variety of problems with communication lines, the faults of surge protection modules in railway applications have a significant impact on the transmission line availability, especially if the devices are located in lightning-prone areas or other high-energy exposure areas, such as voltages or current changes. An advanced optimization of the surge protection module is proposed together with its verification, based on simulated waveforms for components and their limitations (e.g., power, peak power, maximum voltages, maximum currents, etc.). It allows for gathering information about the safety margin for each parameter of the components. This can be used to manage the probability of damage to the protection module. The authors have shown the power distribution during exposure that should be considered while developing new devices for railway transportation industry.

摘要

在各种通信线路问题中,铁路应用中的浪涌保护模块故障对传输线路的可用性有重大影响,特别是如果设备位于雷击多发地区或其他高能辐射区域,如电压或电流变化。本文提出了一种浪涌保护模块的先进优化方法,并对其进行了验证,该方法基于组件的模拟波形及其限制条件(例如功率、峰值功率、最大电压、最大电流等)。它允许收集有关组件每个参数的安全裕度的信息。这可用于管理保护模块损坏的概率。作者展示了在开发用于铁路运输行业的新设备时应考虑的暴露期间的功率分配。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/87d0/8955155/b21de2103c86/sensors-22-02075-g001.jpg

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