陶瓷基复合材料的太赫兹无损检测方法  

Terahertz Nondestructive Detection Method of Ceramic Matrix Composites

作　　者：李铁军[1,2] 孙跃[1] 邵桂芳[3] 石为人[1] 刘建军[4] 颜识涵[5] Li Tiejun;Sun Yue;Shao Guifang;Shi Weiren;Liu Jianjun;Yan Shihan(College of Automation, Chongqing University, Chongqing 400044, China;College of Information Engineering, Jimei University, Xiamen, Fujian 361021, China;Department of Automation, Xiamen University, Xiamen, Fujian 361005, China;School of Electronic Engineering, Jiujiang University, Jiujiang, Jiangxi 130061, China;Research Center of THz Technology, Chongqing Institute of Green and Intelligent Technotogy, Chinese Academy of Sciences, Chongqing 400714, China)

机构地区：[1]重庆大学自动化学院,重庆400044 [2]集美大学信息工程学院,福建厦门361021 [3]厦门大学自动化系,福建厦门361000 [4]九江学院电子工程学院,江西九江130061 [5]中国科学院重庆绿色智能技术研究院太赫兹技术研究中心,重庆400714

出　　处：《激光与光电子学进展》2018年第6期192-201,共10页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(61403318)

摘　　要：提出了一种时频域多模式新光谱成像方法,对内含缺陷的4种陶瓷基复合材料(CMC)样本实现了无损检测,形成了检测样本的太赫兹图像库,并引入5个图像质量的客观综合评价指标,通过指标融合处理选出了质量较佳的太赫兹图像。基于尺度不变特征变换与K均值聚类实现了该图像的检索。实验结果证实,该方法可有效地对CMC不同位置处的不同宽度缺陷进行成像检测。A novel spectral imaging method based on multi-modes in time-frequency domain is proposed. This method is used for the nondestructive detection of four kinds of ceramic matrix composite （CMC） samples with defects. A THz image set for the test samples is formed, and five quantity evaluation indexes for image quality are introduced. The THz images with the best quality are chosen via the index integration treatment. The retrieval of this image is realized based on the Scale Invariant Feature Transform （SIFT） feature selection and K-means clustering algorithm. The experimental results confirm that the proposed method can be effectively used in the imaging detection of the CMC materials with various defect widths at different positions.

关 键 词：成像系统 陶瓷基复合材料 太赫兹透射时域光谱成像技术 无损检测 尺度不变特征变换 

分 类 号：TP751[自动化与计算机技术—检测技术与自动化装置]