A damage diagnostic imaging algorithm based on the quantitative comparison of Lamb wave signals
A damage diagnostic imaging algorithm based on the quantitative comparison of Lamb wave signals
复制标题
基于兰姆波信号定量比较的损伤诊断成像算法
DOI：
10.1088/0964-1726/19/6/065008
复制
发表时间：
2010-06-01
影响因子：
4.1
通讯作者：
Li, Fucai
中科院分区：
文献类型：
--
作者：
Wang, Dong;Ye, Lin;Li, Fucai
为了提高不同状态下兰姆波信号定量比较的温度稳定性，提出了一种基于Shannon熵询问的损伤诊断成像算法。通过识别加劲肋增强的CF/EP准各向同性编织层合板中的表面损伤，进行了实验评估。香农熵的变化的参考（无损伤）和本（有损伤）的信号从各个传感路径被校准为损坏的签名，并利用估计的概率，在监测区域中的损坏封闭的主动传感器网络。温度变化的影响的损伤签名的校准和估计的概率值的存在下的损伤进行了研究，使用一组despersized信号。结果表明，基于Shannon熵的损伤诊断成像算法在温度变化的情况下具有较好的鲁棒性，能够在实际环境中提供准确的损伤识别。
With the objective of improving the temperature stability of the quantitative comparison of Lamb wave signals captured in different states, a damage diagnostic imaging algorithm integrated with Shannon-entropy-based interrogation was proposed. It was evaluated experimentally by identifying surface damage in a stiffener-reinforced CF/EP quasi-isotropic woven laminate. The variations in Shannon entropy of the reference (without damage) and present (with damage) signals from individual sensing paths were calibrated as damage signatures and utilized to estimate the probability of the presence of damage in the monitoring area enclosed by an active sensor network. The effects of temperature change on calibration of the damage signatures and estimation of the probability values for the presence of damage were investigated using a set of desynchronized signals. The results demonstrate that the Shannon-entropy-based damage diagnostic imaging algorithm with improved robustness in the presence of temperature change has the capability of providing accurate identification of damage in actual environments.