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Swarm Optimization for Imaging of Corrosion by Impedance Measurements in Eddy Current Test

机译:涡流试验中通过阻抗测量的腐蚀成像群优化

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Eddy current techniques for nondestructive testing and evaluation (NDT/NDE) of conducting materials is one of most application-oriented field of research within electromagnetics. In this paper, quantitative NDE of corrosion in metallic plates is considered. The inspection method exploits impedance measurements to determine the material loss profile caused by corrosion. Considering the corrosion shape as a function of impedance measurements, it has to be minimized in order to obtain the corrosion profile. In particular, swarm intelligence, characterized by evolutionary computation, has been exploited for the purpose. The proposed approach has been compared with results known in scientific literature both for performances and time consuming, with encouraging results.
机译:用于导电材料的无损测试和评估(NDT / NDE)的涡流技术是电磁学中最面向应用的研究领域之一。在本文中,考虑了金属板腐蚀的定量NDE。该检查方法利用阻抗测量来确定由腐蚀引起的材料损失曲线。考虑到腐蚀形状是阻抗测量的函数,必须将其最小化以获得腐蚀曲线。特别地,以进化计算为特征的群体智能已被用于此目的。所提出的方法已经与科学文献中既有性能又耗时的结果进行了比较,结果令人鼓舞。

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