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作 者:朱虹宇 于龙[1] 陈唐龙[1] ZHU Hongyu;YU Long;CHEN Tanglong(School of Electrical Engineering,Southwest Jiaotong University,Chengdu 610031,China)
出 处:《电瓷避雷器》2018年第5期146-152,158,共8页Insulators and Surge Arresters
基 金:四川省科技支撑计划资助项目(编号:2015GZ0148)
摘 要:为了去除接触网绝缘子泄漏电流信号在线监测中的过车干扰。首先通过大量现场过车试验采集到过车过程中连续、实时的接触网绝缘子泄漏电流原始信号,然后分别对过车前、过车时和过车后的泄漏电流信号进行时域和频域分析。根据分析结果,提出了一种基于经验模态分解(empirical mode decomposition,EMD)与能量相结合的识别过车数据段的方法,并将识别出的过车数据段直接从泄漏电流原始数据段中剔除以达到去除过车干扰的目的。最后通过大量现场过车过程数据的验证,证明了文中方法具有较高的识别率,满足实际工程的需求。In order to remove the signal interference of catenary insulators' leakage current when train passed. First the continuous and real-time catenary insulator leakage current original signal is obtained through a large number of train-pass experiment. Then Time domain and frequency domain analysis of leakage current signals before,during and after the vehicle is carried out,when the adoption of the train and after the adoption of the train. According to the analysis results,presented the way which is based on EMD( Empirical Mode Decomposition) combined with power to Identify interference data when train cross the insulator column. And removed the train-pass data segment directly from the original leakage current data segment in order to achieve the purpose of removal of vehicle interference. At last,through the validation of the process data of a large number of on-the-spot test data proves that the method has high recognition rate and meets the requirements of practical engineering.
分 类 号:TM216[一般工业技术—材料科学与工程]
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