抽油管在线漏磁检测系统信号分析设计
Signal Analysis Design of Magnetic Flux Leakage Testing System of Oil-Well Tubing
摘 要
采用漏磁通法设计研制了一种油管损伤在线检测系统。分析设计了该系统的总体结构和基于USB总线信号采集的硬件结构，实现了基于多线程技术的大容量连续数据采集与数据实时处理。设计了基于Windows操作系统的漏磁信号可视化数据处理与分析程序，介绍了各个模块的结构和功能，以及油管缺陷的处理分析流程。实际生产应用表明，该系统具有检测灵敏度高、定量分析能力强和结构简单等优点。
抽油管
系统结构
软件设计
信号分析
Magnetic flux leakage testing
Oil-well tubing
System structure
Software design
Signal analysis
Abstract
The inspecting equipment of oil-well tubing based on the method of magnetic flux leakage(MFL) was designed. The system structure and data acquisition hardware based on USB(universal series bus) were stated. High volume and continuous data acquisition were performed by multi-thread technology. The visual data processing software and software structure was designed based on the Windows. The analysis procession to defect of oil-well tubing was described. Practical application of this system showed that it was superior on high testing sensitivity, quantitative analysis ability and simple structure and so on.
中图分类号 TG115.28 TE973.6
所属栏目 科研成果与学术交流
基金项目 天津市高校科技发展基金资助项目(20051008)
收稿日期 2007/3/7
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网络出版日期
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备注杨 涛(1970-)，男，副教授，博士，研究方向为动态监控与故障诊断，机电一体化。
引用该论文: YANG Tao,WANG Qi-jiang,GAO Dian-bin. Signal Analysis Design of Magnetic Flux Leakage Testing System of Oil-Well Tubing[J]. Nondestructive Testing, 2007, 29(8): 447～449
杨 涛,王启江,高殿斌. 抽油管在线漏磁检测系统信号分析设计[J]. 无损检测, 2007, 29(8): 447～449
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参考文献
【1】杨 涛，王太勇，秦旭达.基于特征量和神经网络的钢管缺陷预测模型[J].钢铁,2004,39(9):50-53.
【2】杨理践，马凤铭，高松巍.基于神经网络及数据融合的管道缺陷定量识别[J].无损检测,2006,28(6):281.
【3】杨 涛，王太勇，蒋 奇.人机合作式管道漏磁信号分析与缺陷定量识别[J].中国机械工程,2004,15(6):488-490.
【2】杨理践，马凤铭，高松巍.基于神经网络及数据融合的管道缺陷定量识别[J].无损检测,2006,28(6):281.
【3】杨 涛，王太勇，蒋 奇.人机合作式管道漏磁信号分析与缺陷定量识别[J].中国机械工程,2004,15(6):488-490.
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