电磁脉冲涡流检测下金属管道缺陷检测研究
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1.西南石油大学电气信息学院成都610500;2.西南石油大学机电工程学院成都610500

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TH878; TN06

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国家自然科学基金(62303385)、南充市-西南石油大学市校科技战略合作专项资金(23XNSYSX0012)、四川省区域创新合作项目(2024YFHZ0104)资助


Research on metal pipe defect detection based on electromagnetic pulsed eddy current testing
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1.School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu 610500,China; 2.School of Mechanical and Electrical Engineering, Southwest Petroleum University, Chengdu 610500,China

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    摘要:

    电磁脉冲涡流检测技术因其瞬态响应信号具有丰富的时域特征而广泛地用于金属管道缺陷检测中,然而脉冲电磁场在空间中快速衰减现象导致瞬态响应信号易受噪声干扰。为提高脉冲涡流检测中瞬态响应信号的信噪比并实现管道缺陷检测,此处优化了检测线圈参数并给出了一种金属管道壁厚腐蚀缺陷检测方法。首先,通过有限元仿真软件分析了激励线圈对瞬态响应信号的影响,优化了激励线圈参数;然后研究了优化前后检测线圈对金属管道缺陷的检测效果,优化后检测信号的幅度提高了4~5倍,分析了瞬态响应信号缺陷检测灵敏度与检测信号时间的关系,并给出了缺陷检测方法;最后,通过搭建的脉冲涡流金属管道缺陷检测实验平台,在具有环状缺陷的金属管道上进行了缺陷检测方法验证。实验结果表明,该方法得到的缺陷检测曲线在瞬态响应信号较前时刻具有良好的信噪比和缺陷识别灵敏度,可用于金属管道整体壁厚变薄情况评估。

    Abstract:

    Electromagnetic pulse eddy current detection technology is widely used in metal pipeline defect detection because its transient response signal has rich time domain characteristics. However, the rapid attenuation phenomenon of pulse electromagnetic field in space makes the transient response signal susceptible to noise interference. In order to improve the signal-to-noise ratio of the transient response signal in pulsed eddy current testing and realize the pipeline defect detection, this paper optimizes the parameters of the detection coil and proposes a method for metal pipeline wall thickness corrosion defect detection. Firstly, the influence of excitation coil on transient response signal was analyzed by finite element simulation software, and the parameters of excitation coil were optimized. Then, the detection effect of the detection coil on metal pipe defects before and after optimization was studied, the amplitude of the detection signal is increased by 4 to 5 times after optimization. The relationship between the defect detection sensitivity of the transient response signal and the detection signal time was also analyzed, and the defect detection method was given. Finally, through the established pulse eddy current metal pipeline defect detection experimental platform, the defect detection method was verified on the metal pipeline with annular defects. The experimental results show that the defect detection curve obtained by the proposed method has preferable signal-to-noise ratio and defect detection sensitivity at the previous time of the transient response signal, and can be used to evaluate the wall thickness thinning of metal pipes.

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杨超,孙虎,唐超.电磁脉冲涡流检测下金属管道缺陷检测研究[J].电子测量与仪器学报,2025,39(4):132-140

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  • 在线发布日期: 2025-06-10
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