铁道科学与工程学报2018，Vol.15Issue(6)：1567-1571,5.
钢轨超声相控阵检测中的信号去噪研究
Research on image denoising in detection of rail using ultrasonic phased array
摘要
Abstract
In view of the problems of low signal-to-noise ratio in the diction of rail using ultrasonic phased array, the method of wavelet threshold value was proposed to eliminate the effect of noise. The noisy image was transformed by the db4 wavelet to obtain wavelet coefficient matrix, and then the inverse transform was performed. Finally, the total focusing image of defect was reconstructed. In this work, the No. 60 rail with artificial defects was used for ultrasonic experiments. Compared with original image and traditional median filter algorithm, the experimental results show that the value of SNR and MSE are greatly improved. This method can provide better ultrasonic signals for C scanning of defects in rails using ultrasonic phased array.关键词
60钢轨/无损检测/超声相控阵/去噪/小波阈值法Key words
60 rail/ultrasonic nondestructive detection/ultrasonic phased array/image denoising/threshold分类
矿业与冶金引用本文复制引用
陈选民,文晟..钢轨超声相控阵检测中的信号去噪研究[J].铁道科学与工程学报,2018,15(6):1567-1571,5.基金项目
广东省自然科学基金资助项目(2015A030310182) （2015A030310182）
广东省科技计划资助项目(2016A020210100) （2016A020210100）
