长输管道漏磁内检测缺陷识别方法  

Method of Defect Recognition of Magnetic Flux Leakage Inner Detection for Pipeline

作　　者：高松巍[1] 郑树林[1] 杨理践[1] 

机构地区：[1]沈阳工业大学信息科学与工程学院,沈阳110870

出　　处：《无损检测》2013年第1期38-41,共4页Nondestructive Testing

基　　金：国家自然科学基金仪表专项资助项目(60927004);国家自然科学基金资助项目(61141004);十二五国家科技部支撑计划资助项目(2011BAK06B01-03)

摘　　要：针对管道漏磁内检测的缺陷识别问题,提出了一种基于阈值分析的方法对漏磁检测数据进行处理,生成一系列可视化的漏磁检测曲线,便于图像的识别。利用Delphi编程软件,在识别环形焊缝时,产生一条竖直的线来定位环形焊缝;在识别螺旋焊缝时,以圆点的形式产生斜线来定位螺旋焊缝,实现了焊缝的自动识别功能;在识别缺陷时,以三角形标记出缺陷的位置。对不同的漏磁检测数据进行了多次的识别,表明此方法对焊缝及缺陷识别率较高。For the problem of defect recognition of magnetic flux leakage pipeline, a method based on threshold analysis is introduced to process MFL defect data. To facilitate image recognition, a series of visual magnetic flux leakage curve is generated. By the use of Delphi programming software, one vertical line can be drawn to locate the girth weld automatically in girth weld recognition and One slash in the form of dots can be drawn to locate the spiral weld in spiral weld recognition which makes the function of automatic weld recognition basically. Also triangle can be used to mark the position of defect. By much identification of different MFL defect, the discrimination of this method in weld and defect recognition is relatively high.

关 键 词：漏磁内检测 漏磁检测曲线 缺陷识别 数据分析 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置] TG115.28[自动化与计算机技术—控制科学与工程]