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1.南京信息工程大学电子与信息工程学院,江苏南京 210044
2.南京信息工程大学江苏省大气环境与装备技术协同创新中心,江苏南京 210044
Received:19 September 2023,
Revised:2024-06-03,
Published:25 September 2024
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陈晓, 戴杰. 基于预测兰姆波参考信号的缺陷概率成像[J]. 电子学报, 2024, 52(09): 3262-3271.
CHEN Xiao, DAI Jie. Probability Imaging for Defects Using Predicted Lamb Wave Reference Signal[J]. Acta Electronica Sinica, 2024, 52(09): 3262-3271.
陈晓, 戴杰. 基于预测兰姆波参考信号的缺陷概率成像[J]. 电子学报, 2024, 52(09): 3262-3271. DOI:10.12263/DZXB.20230878
CHEN Xiao, DAI Jie. Probability Imaging for Defects Using Predicted Lamb Wave Reference Signal[J]. Acta Electronica Sinica, 2024, 52(09): 3262-3271. DOI:10.12263/DZXB.20230878
针对兰姆波缺陷概率成像需要从材质相同的无缺陷结构获得参考信号的问题,提出一种基于参考信号理论预测的概率成像方法,实现兰姆波缺陷定位.该方法将初始信号和兰姆波的频散特性结合,根据拟合得到的幅值衰减系数计算概率成像路径上的参考信号.根据该方法计算得到的参考信号和对应路径上响应信号的希尔伯特谱定义缺陷表征指数,结合兰姆波椭圆概率成像方法实现缺陷定位.单一缺陷和双缺陷成像定位的实验结果表明,该方法可以得到缺陷的概率图像,对缺陷定位的误差小于7.07 mm,解决了需要测量兰姆波参考信号的问题,定位准确、实用性好.
To address the problem that Lamb wave defect probability imaging requires obtaining a reference signal from a non-destructive structures with the same material characteristics
a probability imaging method based on reference signal theoretical prediction was proposed to achieve Lamb wave defect localization. This method combines the initial signal with the dispersion characteristics of Lamb waves
and calculates the reference signal on the probability imaging path based on the fitted amplitude attenuation. The defect characterization index was defined based on the Hilbert spectrum of the calculated reference signal and the corresponding response signal on the path. Combining it with the Lamb wave elliptical probability imaging method achieved defect localization. The experimental results of this method for single- and double-defect imaging localization show that the method can obtain probability images of defects
and the absolute error for defect localization is less than 7.07 mm. This method solves the problem of measuring Lamb wave reference signals and can accurately locate defects
with good practicality.
张鹏辉 , 赵扬 , 李鹏 , 等 . 超声成像检测技术研究进展综述 [J ] . 激光与光电子学进展 , 2022 , 59 ( 2 ): 0200003 .
ZHANG P H , ZHAO Y , LI P , et al . Research progress in ultrasonic imaging detection technology [J ] . Laser & Optoelectronics Progress , 2022 , 59 ( 2 ): 0200003 . (in Chinese)
倪龙 , 陈晓 . 基于频散补偿和分数阶微分的多模式兰姆波分离 [J ] . 物理学报 , 2018 , 67 ( 20 ): 406 - 415 .
NI L , CHEN X . Mode separation for multimode Lamb waves based on dispersion compensation and fractional differential [J ] . Acta Physica Sinica , 2018 , 67 ( 20 ): 406 - 415 . (in Chinese)
ZHENG S P , LUO Y , XU C G , et al . A review of laser ultrasonic lamb wave damage detection methods for thin-walled structures [J ] . Sensors , 2023 , 23 ( 6 ): 3183 .
陈晓 , 汪陈龙 . 基于赛利斯模型和分数阶微分的兰姆波信号消噪 [J ] . 物理学报 , 2014 , 63 ( 18 ): 282 - 290 .
CHEN X , WANG C L . Noise suppression for Lamb wave signals by Tsallis mode and fractional-order differential [J ] . Acta Physica Sinica , 2014 , 63 ( 18 ): 282 - 290 . (in Chinese)
VALLÉE J C , PLOIX M A , BAQUÉ F , et al . Edge and Notch detection in a plate using time reversal process of leaky lamb waves [J ] . Applied Sciences , 2021 , 12 ( 1 ): 228 .
LI F Z , LUO Y . Total focusing method damage imaging in frequency domain using laser-ultrasonic Lamb wave based on time-domain filtering in multi-band [J ] . Acta Mechanica Solida Sinica , 2021 , 34 ( 3 ): 404 - 424 .
王高平 , 陈云 , 李波 , 等 . Lamb波概率加权成像的复合板损伤检测方法 [J ] . 噪声与振动控制 , 2023 , 43 ( 4 ): 149 - 156 .
WANG G P , CHEN Y , LI B , et al . Composite plate damage detection method based on Lamb waves probability weighted imaging [J ] . Noise and Vibration Control , 2023 , 43 ( 4 ): 149 - 156 . (in Chinese)
王丹宏 , 叶波 , 段启明 , 等 . 基于Lamb波能量和飞行时间的碳纤维复合材料疲劳损伤成像 [J ] . 电子测量与仪器学报 , 2022 , 36 ( 4 ): 205 - 213 .
WANG D H , YE B , DUAN Q M , et al . Imaging of fatigue damage for carbon fiber reinforced polymer based on Lamb wave energy and time-of-flight [J ] . Journal of Electronic Measurement and Instrumentation , 2022 , 36 ( 4 ): 205 - 213 . (in Chinese)
刘小峰 , 张天瑀 , 张春兵 , 等 . 基于交叉递归率的复材板损伤定位成像方法 [J ] . 中国机械工程 , 2023 , 34 ( 8 ): 940 - 947 .
LIU X F , ZHANG T Y , ZHANG C B , et al . Location imaging of composite plate damage based on cross recurrence rate [J ] . China Mechanical Engineering , 2023 , 34 ( 8 ): 940 - 947 . (in Chinese)
SU C H , ZHANG W C , LIANG L H , et al . Damage imaging identification of honeycomb sandwich structures based on Lamb waves [J ] . Materials , 2023 , 16 ( 13 ): 4658 .
ZHAO G Z , LIU C C , JIANG M S , et al . Early fatigue crack damage identification by multi-classification support-vector machine based on Lamb wave and temperature compensation [J ] . Journal of Materials Engineering and Performance , 2022 , 31 ( 11 ): 9159 - 9172 .
陈晓 , 倪龙 . 用分数阶微分实现时频重叠多模式兰姆波的模式分离 [J ] . 声学学报 , 2020 , 45 ( 2 ): 205 - 214 .
CHEN X , NI L . Mode separation for multimode Lamb waves overlapped in time and frequency domains by using fractional differential [J ] . Acta Acustica , 2020 , 45 ( 2 ): 205 - 214 . (in Chinese)
DUAN Q M , YE B , ZOU Y K , et al . Probability-based diagnostic imaging of fatigue damage in carbon fiber composites using sparse representation of Lamb waves [J ] . Electronics , 2023 , 12 ( 5 ): 1148 .
SUN L Y , WEI J T , PENG C , et al . Modified Lamb wave delay factor-based multiply-sum probabilistic diagnostic imaging algorithm of composite structures [J ] . IEEE Transactions on Instrumentation and Measurement , 2023 , 72 : 6004713 .
ZHOU K , YUAN H Q , YIN J S , et al . Damage detection in plate structures based on baseline construction of ultrasonic Lamb wave using designed mobile transducer set [J ] . Measurement Science and Technology , 2023 , 34 ( 2 ): 025020 .
常琦 , 孟瑶 , 赵恒 . 基于概率成像的二维波束聚焦冲击定位方法研究 [J ] . 电子学报 , 2021 , 49 ( 7 ): 1339 - 1345 .
CHANG Q , MENG Y , ZHAO H . Research on two-dimensional beam focusing impact location based on probability tomography [J ] . Acta Electronica Sinica , 2021 , 49 ( 7 ): 1339 - 1345 . (in Chinese)
陈晓 , 戴杰 . 基于相同传播距离路径的兰姆波无基准损伤概率成像 [J ] . 电子测量与仪器学报 , 2023 , 37 ( 8 ): 94 - 104 .
CHEN X , DAI J . Lamb wave baseline-free damage probability imaging based on same propagation distance path [J ] . Journal of Electronic Measurement and Instrumentation , 2023 , 37 ( 8 ): 94 - 104 . (in Chinese)
朱妍妍 , 陈晓 . 超声兰姆波检测电路板缺陷的有限元仿真研究 [J ] . 计算机与数字工程 , 2022 , 50 ( 6 ): 1371 - 1376 .
ZHU Y Y , CHEN X . Research on finite element simulation for ultrasonic defect detection of circuit board [J ] . Computer & Digital Engineering , 2022 , 50 ( 6 ): 1371 - 1376 . (in Chinese)
王莉 , 刘国强 , 肖迎春 . 复合材料层合板损伤的椭圆环定位损伤概率成像 [J ] . 科学技术与工程 , 2019 , 19 ( 27 ): 391 - 396 .
WANG L , LIU G Q , XIAO Y C . Elliptical ring location probability-based diagnostic imaging algorithm of composites laminates panel [J ] . Science Technology and Engineering , 2019 , 19 ( 27 ): 391 - 396 . (in Chinese)
王洁 , 谭冰冲 , 陶星竹 , 等 . 基于希尔伯特变换和功率谱估计的薄缺陷厚度太赫兹检测 [J ] . 红外与毫米波学报 , 2022 , 41 ( 3 ): 589 - 596 .
WANG J , TAN B C , TAO X Z , et al . Terahertz detection of thin defects thickness based on Hilbert transform and power spectrum estimation [J ] . Journal of Infrared and Millimeter Waves , 2022 , 41 ( 3 ): 589 - 596 . (in Chinese)
SU C H , BIAN H H , JIANG M S , et al . Research on composites damage identification based on power spectral density and Lamb wave tomography technology in strong noise environment [J ] . Composite Structures , 2022 , 289 : 115466 .
LUO K , CHEN L , WENG H B , et al . Adaptive time-reversal method for delamination detection of composite plates based on reconstruction algorithm for probabilistic inspection of defects [J ] . Mechanical Systems and Signal Processing , 2023 , 196 : 110336 .
陈晓 , 戴杰 . 一种基于参考信号预测的兰姆波损伤概率成像方法 : 202311068545.1 [P ] . 2023-11-17 .
CHEN X , DAI J . A Lamb wave damage probability imaging method based on reference signal prediction : 202311068545.1 [P ] . 2023-11-17 . (in Chinese)
孙超文 , 陈晓 . 基于多尺度特征融合反投影网络的图像超分辨率重建 [J ] . 自动化学报 , 2021 , 47 ( 7 ): 1689 - 1700 .
SUN C W , CHEN X . Multiscale feature fusion back-projection network for image super-resolution [J ] . Acta Automatica Sinica , 2021 , 47 ( 7 ): 1689 - 1700 . (in Chinese)
陈晓 , 夏颖 . 基于改进MobileViT网络的番茄叶片病害识别 [J ] . 电子测量技术 , 2023 , 46 ( 14 ): 188 - 196 .
CHEN X , XIA Y . Improved MobileViT network for tomato leaf disease identification [J ] . Electronic Measurement Technology , 2023 , 46 ( 14 ): 188 - 196 . (in Chinese)
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