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作 者:许庆阳 罗泽霖 孟景辉 王泽宇 XU Qingyang;LUO Zelin;MENG Jinghui;WANG Zeyu(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:《中国铁路》2025年第1期100-108,共9页China Railway
基 金:中国国家铁路集团有限公司科技研究开发计划(Q2023G019);中国铁道科学研究院集团有限公司青年基金项目(2022YJ195)。
摘 要:为进一步提高轨道电路动态检测数据的分析效率,有效识别补偿电容故障问题,针对轨道电路与补偿电容动态检测数据,提出一种基于趋势相关的自适应补偿电容故障识别方法。使用Savitzky-Golay滤波器对轨道电路感应电压数据进行平滑除噪,并计算不同数据间最大互相关系数,找到与总体样本相关性差异最明显的曲线。采用自适应阈值的方法,对该区段补偿电容脉冲数据进行处理,分析其中是否存在脉冲缺失情况,进而判断该区段内是否存在补偿电容故障问题,并找出对应故障电容位置。实验结果证明,所设计的方法能有效识别补偿电容故障问题,平均故障识别率可达88.86%,漏报率小于4.66%,满足实际使用需求。To enhance the data analysis efficiency for the dynamic inspection of track circuits and effectively identify faults in compensation capacitors,this paper proposes an adaptive method for identifying compensation capacitor faults based on trend correlation,specifically for the dynamic inspection data of track circuits and compensation capacitors.The Savitzky-Golay filter is applied to smooth and denoise the induced voltage data of the track circuit.Then,the maximum cross-correlation coefficients between different data sets are calculated to identify the curve that exhibits the most significant difference in correlation from the overall sample.The adaptive threshold method is employed to process the pulse data of the compensation capacitors in this section,so as to analyze whether there are any missing pulses.This helps determine whether there is a fault in the compensation capacitors within this section and identify the location of the faulty capacitor.The experimental results demonstrate that the method designed is effective in identifying compensation capacitor faults,achieving an average fault identification rate of 88.86%and a missing report rate of less than 4.66%.This performance meets practical application needs.
关 键 词:轨道电路动态检测 补偿电容 故障诊断 趋势相关 自适应阈值
分 类 号:U284.92[交通运输工程—交通信息工程及控制]
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