中国铁道科学2025，Vol.46Issue(2)：49-59,11.DOI:10.3969/j.issn.1001-4632.2025.02.05
重载小半径曲线钢轨超声A显滤波算法研究
Research on Ultrasonic A-Scan Filtering Algorithm for Small Radius Curve Rails in Heavy Haul Railway
摘要
Abstract
The complex environment of small radius curve sections in heavy haul railway introduces a large amount of noise into the A-scan waveform,resulting in dense imaging points in the B-scan,which in turn causes misjudgment of damage.A mask-based wavelet thresholding algorithm is proposed to effectively remove noise in the A-scan.Taking the railhead flaw of a small radius curve rails as an example,the wavelet layer correlation algorithm is used to extract features from the multi-time-frequency-scale waveform and record the coordinates of the feature points.The K-means clustering algorithm is applied to the time-frequency diagram to determine the coordinates of the cluster center with multi-time-frequency-scale features.The wavelet layer correlation results are compared with the time-frequency diagram clustering results through the correlation calculation,and the points with consistent coordinates are retained as the feature extraction results.Based on the feature extraction results,a mask based wavelet thresholding algorithm is used to filter the A-scan waveform,and the filtering effect is evaluated through damage imaging.The experimental results show that the proposed algorithm reduces the number of B-scan imaging points by 69.91%and 39.15%respectively compared to the original imaging algorithm and low-pass filter,while ensuring the detection rate of damages.This study effectively mitigates noise interference in A-scan waveforms,reduces B-scan imaging point with a high detection rate,providing an effective solution for damage identification in B-scan images of small radius curves.关键词
重载铁路/超声探伤/小半径曲线/小波分析/滤波Key words
Heavy-haul railways/Ultrasonic flaw detection/Small radius curve/Wavelet analysis/Filtering分类
交通运输引用本文复制引用
张江涛,曹源,王峰,孙永奎,宿帅,安运通..重载小半径曲线钢轨超声A显滤波算法研究[J].中国铁道科学,2025,46(2):49-59,11.基金项目
国家重点研发计划项目(2021YFF0501102) （2021YFF0501102）
国家自然科学基金资助项目(U2368202,52372308,52202392,52022010,U22A2046,52172322) （U2368202,52372308,52202392,52022010,U22A2046,52172322）
北京交通大学基本科研业务费资助项目(2024JBMC038) （2024JBMC038）
