脉冲漏磁检测缺陷信号特征分析
Analysis of Defect Signal Characteristic for Pulsed Magnetic Flux Leakage Testing
摘 要
分析了脉冲漏磁检测原理, 提出了脉冲交流磁化方式, 建立了脉冲漏磁检测系统。对不同深度、长度等缺陷的钢管试件进行了测试, 提取漏磁检测传感器瞬态感应电压信号进行定性时域分析。试验结果表明, 在较大提离情况下, 脉冲漏磁检测方法综合了漏磁检测和脉冲涡流检测的优点, 具有快速、定量检测的特点, 在钢管的缺陷检测中具有广阔的应用前景。
缺陷信号
钢管
Pulsed magnetic flux leakage testing
Defect signal
Steel pipe
Abstract
Magnetic flux leakage techinique has been widely used for non-intrusively steel products. The principle of pulsed magnetic flux leakage testing(PMFL) is analyzed. This paper presents a pulsed alternating current magnetizing method. The PMFL testing system has been established to examine the steel pipe of defects of different depth, and the time domain transient response signal of PMFL is analyzed. The experimental results shows that PMFL has the advantage of fast speed and quantification, this makes the method have the broad using foreground in the testing of steel pipe.
中图分类号 TG115.28
所属栏目 科研成果与学术交流
基金项目 国防预先研究基金资助项目(51317030109)
收稿日期 2009/1/9
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网络出版日期
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备注唐 莺(1971-), 女, 硕士, 副教授, 主要从事电磁无损检测技术及其相关理论的研究。
引用该论文: TANG Ying,PAN Meng-Chun,LUO Fei-Lu,CHEN Di-Xiang. Analysis of Defect Signal Characteristic for Pulsed Magnetic Flux Leakage Testing[J]. Nondestructive Testing, 2010, 32(2): 79～81
唐 莺,潘孟春,罗飞路,陈棣湘. 脉冲漏磁检测缺陷信号特征分析[J]. 无损检测, 2010, 32(2): 79～81
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参考文献
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【3】Tianlu Chen, Gui YunTian, Ali Sophian, et al. Feature extraction and selection for defect classification of pulsed eddy current NDT[J]. NDT&E International, 2008, 41(6): 467-476.
【4】Yong Li, John Wilson, Gui YunTian. Experiment and simulation study of 3D magnetic field sensing for magnetic flux leakage defect characterisation[J]. NDT&E International, 2007, 40(2): 179-184.
【2】徐章遂, 徐英, 王建斌, 等.裂纹漏磁定量检测原理与应用[M].北京: 国防工业出版社, 2005: 34-36.
【3】Tianlu Chen, Gui YunTian, Ali Sophian, et al. Feature extraction and selection for defect classification of pulsed eddy current NDT[J]. NDT&E International, 2008, 41(6): 467-476.
【4】Yong Li, John Wilson, Gui YunTian. Experiment and simulation study of 3D magnetic field sensing for magnetic flux leakage defect characterisation[J]. NDT&E International, 2007, 40(2): 179-184.
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