车轴超声检测数据的滑动中值滤波算法  

Sliding Median Filter Algorithm for Ultrasonic Testing Data of Axels

作　　者：钱微冬 高晓蓉 QIAN Weidong GAO Xiaorong(Photoelectric Engineering Institute, School of Physical Science ＆ Technology, Southwest Jiaotong University, Chengdu 610031, China)

机构地区：[1]西南交通大学物理科学与技术学院光电工程研究所,成都610031

出　　处：《无损检测》2017年第9期7-10,共4页Nondestructive Testing

摘　　要：提出了一种基于A扫描的滑动中值滤波算法,其通过对被检测工件与圆形超声直探头声场进行分析来确定滑动中值滤波的采样点数。对空心车轴超声检测系统采集的A扫描数据进行算法处理后可以发现,由算法处理后的A扫数据还原而来的B扫图、C扫图干净清晰,一方面去除了所处环境、机械运转结构及装配等因素造成的随机干扰;另一方面很好地保留了缺陷信息。In this paper,a sliding median filtering algorithm based on A-scan was proposed,and the sampling points of the sliding median filter were determined by the analysis of the sound field of the circular ultrasonic probe and the actual workpiece.The B-scan and C-scan,which were restored by the A-scan data collected by ultrasonic inspection of hollow axles and processed by the algorithm,were clean and clear.On the one hand,this algorithm removed the random interference caused by the environment,mechanical structure and assembly,whereas on the other hand,it also retained the defect information.

关 键 词：超声检测 车轴 滑动中值滤波 随机干扰 

分 类 号：TG115.28[金属学及工艺—物理冶金]