Damage diagnosis of framework structure based on wavelet packet analysis and neural network
Damage diagnosis of framework structure based on wavelet packet analysis and neural network
复制标题
基于小波包分析和神经网络的框架结构损伤诊断
DOI：
10.1117/12.538750
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
G. Song
中科院分区：
文献类型：
--
作者：
Hongnan Li;Hong;G. Song
利用小波包分析和改进的BP神经网络，提出了一种基于“能量-损伤”理论的结构损伤诊断方法。经过小波变换后的时域响应信号的损伤特征更加明显。用不同频段的节点能量作为神经网络的样本，能较好地反映损伤特征。作为一个数值例子，本文用ASCE给出的基准结构描述了损伤检测的过程。
In this paper, an approach based on "energy-damage" theory for structural damage diagnosis is presented by use of wavelet packet analysis and improved BP neural network. The damage characteristics of the time domain response signals are more obvious after being transformed by the wavelet. Using the node energy in different frequency bands as the sample of tbe ANN can quite well reflect the damage features. As a numerical example, the benchmark structure given by the ASCE is used for describing the process of the damage detection presented here.