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作 者:陈晓[1,2] 戴杰[1] Chen Xiao;Dai Jie(School of Electronic and Information Engineering,Nanjing University of Information Science and Technology,Nanjing 210044,China;Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology,Nanjing University of Information Science and Technology,Nanjing 210044,China)
机构地区:[1]南京信息工程大学电子与信息工程学院,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,南京210044
出 处:《电子测量与仪器学报》2023年第8期94-104,共11页Journal of Electronic Measurement and Instrumentation
摘 要:针对兰姆波损伤概率成像需要参考基准的问题,提出了一种基于相同传播距离的兰姆波无基准损伤概率成像算法。首先求解每条路径上信号的功率谱密度,然后将相同传播距离路径上的功率谱密度值进行分组,将每组的功率谱密度最大值对应的路径视为无损路径,并与同组的其他功率谱密度值进行比较,构建损伤指数,最后结合损伤概率成像算法来识别损伤位置。结果显示,该无基准损伤成像算法对检测区域内多种类型损伤定位成像的相对误差在6%以内,能够对缺陷进行准确的定位成像。To address the problem that Lamb wave damage probability imaging requires a baseline signal,a baseline-free damage probability imaging algorithm for Lamb waves based on the same propagation distance is proposed.Firstly,the power spectral density of the signal on each path is solved,then the power spectral density values on the paths with the same propagation distance are grouped,the path corresponding to the maximum value of the power spectral density in each group is regarded as a non-damaging path,and compared with other power spectral density values in the same group to construct a damage index,and finally the damage probability imaging algorithm is combined to identify the damage location.The results show that this baseline-free damage imaging algorithm is capable to accurately localize defects within 6% relative error for localizing multiple types of damage within the inspection area.
关 键 词:兰姆波 相同传播距离 功率谱密度 无基准 概率成像
分 类 号:TP15[自动化与计算机技术—控制理论与控制工程]
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