Combining multiple nondestructive inspection images with a generalized additive model
Combining multiple nondestructive inspection images with a generalized additive model
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DOI：
10.1088/0957-0233/19/8/085701
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发表时间：
2008-08
影响因子：
2.4
通讯作者：
Zheng Liu;P. Ramuhalli;S. Safizadeh;D. Forsyth
中科院分区：
文献类型：
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作者：
Zheng Liu;P. Ramuhalli;S. Safizadeh;D. Forsyth
本文将多幅无损检测图像与广义加性模型相结合，实现了对飞机搭接接头隐性腐蚀更精确、更可靠的评估。本研究考虑了两种检验技术。一种是传统的多频涡流检测技术，另一种是脉冲涡流检测技术。为了表征厚度损失或等效地实现腐蚀的定量测量，将多个NDI图像融合以产生反映腐蚀损伤量的厚度图。这些结果进一步与相应的数字x射线厚度图进行了比较，该数字x射线厚度图是通过绘制试样拆卸后的剩余厚度并清洗所有腐蚀产物而获得的。实验结果表明，该算法优于传统的单一测试方法校准方法。
In this paper, multiple nondestructive inspection (NDI) images are combined with a generalized additive model to achieve a more precise and reliable assessment of hidden corrosion in aircraft lap joints. Two inspection techniques are considered in this study. One is the conventional multi-frequency eddy current testing technique and the other is the pulsed eddy current technique. To characterize the thickness loss or equivalently to achieve a quantitative measure of corrosion, multiple NDI images are fused to produce a thickness map that reflected the amount of corrosion damage. These results are further compared with corresponding digital x-ray thickness maps, which are obtained by mapping the remaining thickness after the specimen is dissembled and all the corrosion products are cleaned. Experimental results demonstrate that the proposed algorithms outperform the traditional calibration method aligned with a single testing approach.