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Design and Data Processing of Galloping Online Monitoring System for Positive Feeder of High-Speed Railway Catenary in Gale Area
IEEJ Transactions on Electrical and Electronic Engineering ( IF 1.0 ) Pub Date : 2021-06-29 , DOI: 10.1002/tee.23423
Shanpeng Zhao 1 , Shaoxiang Zhao 1 , Youpeng Zhang 1 , Yuhuan Wang 2
Affiliation  

To monitor the galloping state of the catenary positive feeder of the Lanzhou–Urumqi high-speed railway in the gale area, on the basis of previous research results, an online multi-point distributed galloping monitoring system based on wireless sensor network (WSN) was designed, and the author improves the design of each part of the catenary positive feeder galloping monitoring system to enhance its availability and reliability. By the system to collect accelerations of each galloping monitoring point, and the displacement is obtained by integrating the acceleration twice, but the integration result was seriously distorted because of the trends. A localization algorithm is proposed to correct the galloping signal waveform. Firstly, in accordance with a detailed analysis of ensemble empirical mode decomposition (EEMD) anti-modal aliasing principle and the steps of the waveform correction method, the original signal was decomposed to obtain ten intrinsic modal functions (IMFs). Secondly, with the IMFs' characteristics as basis, a new method of trend extraction was introduced to extract and eliminate the trends in the original signal. Finally, through the analysis of the measured signal of wire galloping, the feasibility and effectiveness of the proposed method were verified by comparing its results with those of the moving average method, and the galloping trajectory of the wire is obtained by curve fitting. © 2021 Institute of Electrical Engineers of Japan. Published by Wiley Periodicals LLC.

中文翻译:

大风地区高速铁路接触网正馈线驰骋在线监测系统设计与数据处理

为监测大风区兰乌高铁接触网正馈线的疾驰状态,在前人研究成果的基础上,建立了一种基于无线传感器网络(WSN)的在线多点分布式疾驰监测系统。设计,作者改进了接触网正馈线疾驰监控系统各部分的设计,以提高其可用性和可靠性。由系统采集各驰骋监测点的加速度,对加速度进行二次积分得到位移,但积分结果因趋势而严重失真。提出了一种定位算法来校正疾驰信号波形。首先,根据对集成经验模态分解(EEMD)抗模态混叠原理和波形校正方法步骤的详细分析,对原始信号进行分解,得到10个固有模态函数(IMF)。其次,以IMFs的特征为基础,引入了一种新的趋势提取方法来提取和消除原始信号中的趋势。最后,通过对导线舞动实测信号的分析,将其结果与移动平均法的结果进行对比,验证了所提方法的可行性和有效性,并通过曲线拟合得到了导线的舞动轨迹。© 2021 日本电气工程师学会。由 Wiley Periodicals LLC 出版。原始信号被分解以获得十个内在模态函数(IMF)。其次,以IMFs的特征为基础,引入了一种新的趋势提取方法来提取和消除原始信号中的趋势。最后,通过对导线舞动实测信号的分析,将其结果与移动平均法的结果进行对比,验证了所提方法的可行性和有效性,并通过曲线拟合得到了导线的舞动轨迹。© 2021 日本电气工程师学会。由 Wiley Periodicals LLC 出版。原始信号被分解以获得十个内在模态函数(IMF)。其次,以IMFs的特征为基础,引入了一种新的趋势提取方法来提取和消除原始信号中的趋势。最后,通过对导线舞动实测信号的分析,将其结果与移动平均法的结果进行对比,验证了所提方法的可行性和有效性,并通过曲线拟合得到了导线的舞动轨迹。© 2021 日本电气工程师学会。由 Wiley Periodicals LLC 出版。通过对导线舞动实测信号的分析,将其结果与移动平均法的结果进行对比,验证了该方法的可行性和有效性,并通过曲线拟合得到了导线的舞动轨迹。© 2021 日本电气工程师学会。由 Wiley Periodicals LLC 出版。通过对导线舞动实测信号的分析,将其结果与移动平均法的结果进行对比,验证了该方法的可行性和有效性,并通过曲线拟合得到了导线的舞动轨迹。© 2021 日本电气工程师学会。由 Wiley Periodicals LLC 出版。
更新日期:2021-08-13
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