一种钢轨顶面伤损漏磁信号缺陷识别方法  

Method for identifying flaws in magnetic flux leakage signal defects on rail top surface

作　　者：张事成 贾银亮[1] 冀凯伦 王平[1] Zhang Shicheng;Jia Yinliang;Ji Kailun;Wang Ping(Colloge of Automation Engineer ing,Nanjing University of Aeron autics and Astronautics,Nanjing 211100,China)

机构地区：[1]南京航空航天大学自动化学院,南京211100

出　　处：《电子测量技术》2020年第21期10-14,共5页Electronic Measurement Technology

基　　金：国家重点研发计划(2018YFB2100903)项目资助。

摘　　要：随着中国铁路的快速发展,钢轨的安全对于保证轨道交通的安全越来越重要。聚焦于钢轨顶面缺陷的漏磁无损检测技术,在已有的双检测板结构和滑靴式承载机构的基础上,提出了一种纵向阵列式传感器缺陷检测方法,改变以往通过采集信号幅值绝对大小识别缺陷的方法,使用多个传感器输出的相对大小来识别缺陷,推导了各个传感器之间的最佳距离,试验证明该方法能有效抑制振动干扰,提高了单个缺陷的识别精度。With the rapid development of China′s railways,the safety of steel rails is increasingly important to ensure the safety of rail transit.This article focuses on the magnetic flux leakage non-destructive detection technology of rail top surface defects.Based on the existing double detection plate structure and sliding shoe type bearing mechanism,a longitudinal array sensor defect detection method is proposed,which changes the previous method of collecting signal amplitude.The method of using absolute value to identify defects uses the relative size of multiple sensor outputs to identify defects and derives the optimal distance between each sensor.Tests prove that this method can effectively suppress vibration interference and improve the accuracy of single defect recognition.

关 键 词：钢轨缺陷 漏磁检测 阵列传感器 缺陷识别 

分 类 号：U216.3[交通运输工程—道路与铁道工程]