A Space Mapping Methodology for Defect Characterization From Magnetic Flux Leakage Measurements
A Space Mapping Methodology for Defect Characterization From Magnetic Flux Leakage Measurements
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DOI：
10.1109/tmag.2008.923228
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发表时间：
2008-08-01
影响因子：
2.1
通讯作者：
Reilly, James P.
中科院分区：
文献类型：
--
作者：
Amineh, Reza K.;Koziel, Slawomir;Reilly, James P.
我们提出了一种使用漏磁 (MFL) 测量数据来表征缺陷的反演方法。我们使用泄漏场的单个切向分量作为 MFL 响应。反演过程采用空间映射方法。空间映射是一种有效的技术，它将优化负担从计算成本昂贵的精确（精细）模型转移到不太精确（粗略）但第一的模型。这里的精细模型是有限元法（FEM）模拟，而粗略模型是基于解析公式。我们仅使用一些有限元模拟就可以很好地估计缺陷参数，与其他优化方法相比，这可以大大节省计算成本。我们检查了所提出的反演技术在估计钢管矩形和圆柱形缺陷形状参数方面的效率。我们的结果显示实际和估计的缺陷参数之间具有良好的一致性。
We present an inversion methodology for defect characterization using the data from magnetic flux leakage (MFL) measurements. We use a single tangential component of the leakage field as the MFL response. The inversion procedure employs the space mapping methodology. Space mapping is an efficient technique that shifts the optimization burden from a computationally expensive accurate (fine) model to a less accurate (coarse) but fist model. Here the fine model is a finite-element method (FEM) simulation, while the coarse model is based on analytical formulas. We achieve good estimation of the defect parameters using just a few FEM simulations, which leads to substantial savings in computational cost as compared to other optimization approaches. We examine the efficiency of the proposed inversion technique in estimating the shape parameters of rectangular and cylindrical defects in steel pipes. Our results show good agreement between the actual and estimated defect parameters.