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Adaptive Metamodels for Crack Characterization in Eddy-Current Testing

机译:涡流测试中裂纹特征的自适应元模型

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摘要

In the framework of nondestructive eddy-current testing, an inversion method is proposed. It relies on a metamodel-based optimization method: a fast optimization by means of a particle swarm algorithm is performed wherein the exact forward computations are replaced by an appropriate metamodel. The latter is obtained by radial basis function interpolation over a database previously generated by sequential design. Both synthetically generated and laboratory-controlled experimental data are used to illustrate its performances. Comparisons to inversions by support vector machines, now common for defect characterization, are carried out. The proposed method appears to be an useful tool for decision analysis, highlighting the likeliest results.
机译:在无损涡流测试的框架下,提出了一种反演方法。它依赖于基于元模型的优化方法:借助粒子群算法进行快速优化,其中精确的正向计算将替换为适当的元模型。后者是通过径向基函数插值在先前通过顺序设计生成的数据库上获得的。合成生成的数据和实验室控制的实验数据均用于说明其性能。现在对缺陷特征描述中常用的支持向量机进行反演比较。所提出的方法似乎是进行决策分析的有用工具,突出了最可能的结果。

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