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首页> 外文期刊>NDT & E International: Independent Nondestructive Testing and Evaluation >Metal defects sizing and detection under thick coating using microwave NDT
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Metal defects sizing and detection under thick coating using microwave NDT

机译:使用微波无损检测技术在厚涂层下确定和检测金属缺陷

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摘要

An experimental study to evaluate shapes and sizes of defect under thick coating by microwaves NDT is demonstrated. Specially fabricated thick fire protect coated steel panels with embedded defects are inspected using an X-band (8.2-12.4 GHz) open-ended rectangular waveguide. The fundamental idea behind using this probe is presented along with several experimental results to validate this method for defect detection under coating. The reflected signal related to the phase and magnitude of the reflection coefficient at the waveguide aperture is used to create images of these coated samples under test. These images indicate the ability of microwaves for identifying and sizing defects under thick coating layer. Linear sweep technique is used here to obtain multiple frequency spectrum variances. Principle Component Analysis (PCA) algorithms have been employed to enhance the resolution of our proposed method. A series of performance comparison with PCA algorithms are also provided to extract the defect features from thick coating layer influence. To evaluate the proposed technique, steel with known defect and five coated steel plates with unknown defect under different coating thickness are measured. Results indicate that the defect detection capability has been enhanced with the suitable use of signal processing methods.
机译:证明了通过微波无损检测技术评估厚涂层下缺陷形状和尺寸的实验研究。使用X波段(8.2-12.4 GHz)开放式矩形波导检查带有嵌入缺陷的特制厚防火涂层钢板。提出了使用该探头的基本原理以及一些实验结果,以验证该方法可用于涂层下的缺陷检测。与波导孔处反射系数的相位和大小有关的反射信号用于创建这些被测样品的图像。这些图像表明了微波识别和确定厚涂层下缺陷的能力。这里使用线性扫描技术来获得多个频谱变化。主成分分析(PCA)算法已被用来提高我们提出的方法的分辨率。还提供了与PCA算法的一系列性能比较,以从厚涂层影响中提取缺陷特征。为了评估提出的技术,测量了具有已知缺陷的钢和五种在不同涂层厚度下具有未知缺陷的涂层钢板。结果表明,通过适当使用信号处理方法,可以提高缺陷检测能力。

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