材料科学
反向传播
热障涂层
太赫兹辐射
小波
太赫兹光谱与技术
人工神经网络
太赫兹时域光谱学
小波变换
光学
算法
光谱学
薄膜
光电子学
复合材料
计算机科学
图层(电子)
人工智能
纳米技术
物理
量子力学
作者
Manting Luo,Shuncong Zhong,Ligang Yao,Wanli Tu,Walter Nsengiyumva,Weiqiang Chen
出处
期刊:Applied Optics
[The Optical Society]
日期:2020-04-03
卷期号:59 (13): 4097-4097
被引量:27
摘要
Terahertz time-domain spectroscopy is a contactless and nondestructive testing technique that is often used to measure the thickness of layered materials. However, the technique presents limited thickness detection resolution, especially in the thin thermally grown oxide (TGO) of thermal barrier coatings whose thickness is below 30 µm. In this study, an SWT-BP algorithm combining a stationary wavelet transform (SWT) and a backpropagation (BP) neural network was proposed, and the regression coefficient of SWT-detailed results was 0.92. The prediction results were in good agreement with the real-time results; it demonstrated that the proposed algorithm was able to achieve a thickness prediction of up to 1-29 µm of the TGO. The proposed algorithm is suitable for thin thickness detection of the TGO.
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