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作 者:丁宇鸣 刘金朝 徐晓迪 张文轩 杨志鹏 DING Yuming;LIU Jinzhao;XU Xiaodi;ZHANG Wenxuan;YANG Zhipeng(Infrastructure Inspection Research Institute,China Academy of Railway Sciences Corporation Limited,Beijing 100081,China)
机构地区:[1]中国铁道科学研究院集团有限公司基础设施检测研究所,北京100081
出 处:《铁道学报》2021年第9期38-45,共8页Journal of the China Railway Society
基 金:中国铁路总公司科技研究开发计划(J2018G006)。
摘 要:当列车过电分相时,受电弓加速度传感器通常会受到瞬态电磁干扰,产生异常干扰信号。针对这种情况,提出一种新的基于支撑向量机(SVM)分类受电弓振动干扰信号识别方法。首先通过计算受电弓垂向加速度的接触网冲击指数CII确定偏差位置,其次计算该处偏差的加速度衰减系数,最后选取接触网冲击指数和加速度衰减系数组成识别特征向量,构建一种SVM的干扰信号识别方法。结果表明:该识别结构运算速度快,判断偏差是否为瞬态电磁干扰所引起的准确率较高。将该方法应用于接触网检测车实测数据的分析,验证了该方法的有效性。与传统的带通滤波干扰信号识别方法进行比较,证明了该方法的优势。When the train passes through articulated phase insulator,the pantograph acceleration sensor may be subject to transient electromagnetic interference and therefore generate abnormal signals.In response to this problem,a new method for identifying pantograph vibration interference signals was proposed based on the Support Vector Machine(SVM)classification.There are three major steps of the proposed method.First,the deviation position was determined by calculating the Catenary Impact Index CII of the vertical acceleration of the pantograph.Next,the acceleration attenuation coefficient of the deviation was calculated.Finally,the catenary impact index and the acceleration attenuation coefficient were selected to form the identification eigenvector to construct the SVM interference signal identification method.The results demonstrate that the identification algorithm features time-saving computation,and high accuracy in determining whether the deviation is caused by the transient electromagnetic interference.The effectiveness of the method was verified when the method was applied to the analysis of the measured data of the catenary inspection vehicles.By comparing the results with those using traditional band-pass filtering interference signal identification method,the proposed method is considerably more effective and advantageous.
关 键 词:铁道工程 接触网 支持向量机(SVM) 关节式电分相 暂态过程 电磁干扰
分 类 号:U226.8[交通运输工程—道路与铁道工程]
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