Application of tree classifier in the image diagnosis of the adhesive quality about the multi-layered structure
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摘要: 在对固体火箭发动机的钢、衬层、绝热层复合结构粘接质量进行超声图像诊断过程中,利用两检测回波之间的谐振关系确定作为特征值的延迟时间,并把特征值提取和多界面粘接状态识别归结为一个多模式识别问题,利用自行设计的二叉树分类器对其进行分类识别,获得了高质量的诊断图像.Abstract: When the adhesive quality in multi-layered structure (steel shell, under layer and insulation layer)which is used in the solid rocket motor is diagnosed,the resonance between the echoes is used to obtain the signal characteristics, i.e. delay time. Extracting the signal characteristics and recognizing the adhesive state is a pattern recognition process. The dichotomous branch tree classifier is designed to accomplish the pattern classification .The high quality diagnosis image is obtained.
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[1] Moidu A K, Sinclair A N, Spelt J K. A new ultrasonic technique for the interfacial characterization of adhesive joints . IEEE Ultrasonics Symposium . 1996,(1):757~760 [2] 西拉德J . 超声检测新技术[M] 北京:科学出版社,1991.253~255 Szilard J. Ultrasonic testing-non-conventional testing techniques[M] Beijing:Science Press,1991.253~255(in Chinese) [3] 边肇祺,张学工.模式识别[M] 北京:清华大学出版社,2000.112~117 Bian Zhaoqi, Zhang Xuegong. Pattern recognition[M] Beijing:Tsinghua University Press,2000.112~117(in Chinese) -
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