铁路通信信号工程技术2025，Vol.22Issue(9)：21-27,7.DOI:10.3969/j.issn.1673-4440.2025.09.004
基于环境自适应匹配滤波算法的钢轨导波能量增强方法研究
Research on Energy Enhancement Method of Rail Guided Waves Based on Environment Adaptation Matched Filtering Algorithm
摘要
Abstract
During propagation in steel rails,ultrasonic guided waves undergo reflection,refraction and attenuation phenomena,and have dispersion and multimodal characteristics.The energy of the guided waves also decreases with the increase of the propagation distance.In order to increase the distance of rail health monitoring,this paper proposes an environment adaptation matched filtering method for enhancing the energy of rail guided waves.The guided wave signal collected from the near end of the transducer is used as the reference signal of the environment adaptation matched filter to perform matched filtering on the guided wave signal from the far end.The experimental results show that the reference signal of the environment adaptation matched filter contains rich track information and environmental information,which reduces the influence of accessory structures and environmental factors on the reference signal of the matched filter.The proposed filter can adapt to various different track environments and solve the problem of reduced correlation between the received guided wave signal and the reference signal,substantially improving the matched filtering effect of the received guided wave signal.Compared with directly using the transducer excitation signal as the reference signal,this method can improve the SNR of guided waves by 13 dB,greatly increasing the distance for broken rail detection.关键词
钢轨导波/匹配滤波/环境自适应/断轨监测Key words
rail guided wave/matched filtering/environment adaptation/broken rail detection分类
机械制造引用本文复制引用
韩明媚,王鹏跃,马一凡,李阳..基于环境自适应匹配滤波算法的钢轨导波能量增强方法研究[J].铁路通信信号工程技术,2025,22(9):21-27,7.基金项目
北京市科技计划项目(Z231100003823030) （Z231100003823030）
中国铁路通信信号股份有限公司科研项目(2300-K1230019.01) （2300-K1230019.01）
