The reconstruction algorithm for probabilistic inspection of damage (RAPID) was proposed for continuous on-line monitoring of composite structures based on wavelet analysis and the theory of probability and statistics. The wavelet analysis was applied to extract the features of the Lamb wave signals in both reference and present states on each sensing path. The difference coefficient between the features was taken as a damage index (DI). Then, the probabilistic method was used to judge whether the DI is caused by the structural damage or the environmental factors. Finally, a toraogram generated by the RAPID algorithm was obtained to identify the damage. An experimental study on a composite panel with a 12-PZT sensor network was conducted to verify the capability of the RAPID algorithm in damage identification. Experimental results demonstrate that the proposed method is quite feasible and effective for composite structural damage identification. It has certain application value in the practical engineering.%基于小波分析理论和概率统计原理,提出一种损伤存在概率成像方法,对复合材料结构进行在线的健康监测.首先对结构损伤前后Lamb信号进行比较,提取信号的能量特征差异系数,作为损伤指标;然后用概率统计方法判断该损伤指标是由损伤引起的还是因环境变化造成的;最后用成像算法给出存在概率图像识别损伤.对复合材料板结构进行实验验证该方法的可行性,具有一定的实际工程应用价值.
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