电子测量与仪器学报

温银堂,杨若然,张玉燕.新型陶瓷基复合材料粘接构件的脱粘超声检测信号处理方法[J].电子测量与仪器学报,2021,35(2):143-151

新型陶瓷基复合材料粘接构件的脱粘超声检测信号处理方法

Debonding ultrasonic detection signal processing method of novel ceramic matrix composite material bonding member

DOI：

英文关键词:ceramic matrix composite components ultrasound C scan time frequency analysis wavelet packet threshold denoising

基金项目:河北省自然科学基金(E2017203240)项目资助

作者	单位
温银堂	1.燕山大学电气工程学院秦皇岛066004； 2.燕山大学测试计量技术及仪器河北省重点实验室秦皇岛066004
杨若然	1.燕山大学电气工程学院秦皇岛066004； 2.燕山大学测试计量技术及仪器河北省重点实验室秦皇岛066004
张玉燕	1.燕山大学电气工程学院秦皇岛066004； 2.燕山大学测试计量技术及仪器河北省重点实验室秦皇岛066004

Author	Institution
Wen Yintang	1．School of Electrical Engineering，Yanshan University，Qinhuangdao 066004，China; 2．Hebei Province Key Laboratory of Measuring and Testing technologies and Instruments，Yanshan University， Qinhuangdao 066004，China
Yang Ruoran	1．School of Electrical Engineering，Yanshan University，Qinhuangdao 066004，China; 2．Hebei Province Key Laboratory of Measuring and Testing technologies and Instruments，Yanshan University， Qinhuangdao 066005，China
Zhang Yuyan	1．School of Electrical Engineering，Yanshan University，Qinhuangdao 066004，China; 2．Hebei Province Key Laboratory of Measuring and Testing technologies and Instruments，Yanshan University， Qinhuangdao 066006，China

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中文摘要:

针对一种新型的陶瓷基多孔复合材料粘接结构件，利用超声C扫描系统对构件脱粘缺陷进行检测时，由于材料多孔性和各向异性导致超声数据产生强烈的声学噪声，造成重构图像边缘模糊。针对此问题，提出利用小波包时频域分析及能量谱分析的方法获取超声回波信号的频谱和能量谱特征。为增强回波信号的特征，采用自适应小波包阈值算法进行消噪处理，相较于传统的超声信号消噪方法信噪比提高了近20%，有效减小噪声信号对原始超声信号的干扰。在此基础上，对陶瓷基复合材料的粘接缺陷进行图像重建，对于直径为2 mm的微型脱粘缺陷也能够实现清晰表征。结果表明了所提超声信号处理方法的有效性，通过较大程度改善重构图像的质量，更清晰的反映了微小缺陷的边缘，从而提高了量化表征精度。

英文摘要:

A new type of ceramic based porous composite material is used to bond structural members. When the ultrasonic C scan system is used to detect the debonding defects of the components, the ultrasonic data produces strong acoustic noise due to the porosity and anisotropy of the material, resulting in blurred edges on reconstructed images. Aiming at this problem, this paper proposes to use the method of wavelet packet time frequency domain analysis and energy spectrum analysis to obtain the spectrum and energy spectrum characteristics of ultrasonic echo signals. In order to enhance the characteristics of the echo signal, an adaptive wavelet packet threshold algorithm is used for noise reduction. Compared with the traditional ultrasonic denoising method, the signal to noise ratio is increased by nearly 20%, which effectively reduces the interference of the noise signal to the original ultrasonic signal. On this basis, the image reconstruction of the tiny adhesion defects on the near surface of the ceramic substrate is performed, which achieved a clear characterization of debonding defect with a diameter of 2 mm. The results show that the effectiveness of the method proposed in this paper, the quality of the reconstructed image is greatly improved, and the edges of small defects are more clearly reflected, thereby improving the accuracy of quantitative representation.

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