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首页> 外文会议>ICMEE 2012;International conference on mechanical and electronic engineering >An Identification Method of Bridge Structural Damage Based on Fourier Transform and Neural Network in Electronic Information Engineering
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An Identification Method of Bridge Structural Damage Based on Fourier Transform and Neural Network in Electronic Information Engineering

机译：电子信息工程中基于傅里叶变换和神经网络的桥梁结构损伤识别方法

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摘要

In the bridge health monitoring and evaluation systems, the modal parameter can only access needed accuracy after times of experiments. The paper proposed a kind of bridge structure damage diagnosis method based on Fourier transform and artificial neural network in electronic information technology in electronic information engineering. It firstly standardizes original disturbance data. Then, the random noise and Gaussian noise were injected into original data and discrete Fourier transform was used to analyze data with noise. Finally, the back-propagation BP neural network was used to determine these damage points. The numerical example based on experiments shows that the proposed method can effectively identify structural damage of the bridges.
机译：在桥梁健康监测和评估系统中，模态参数只能在经过几次实验后才能获得所需的精度。提出了一种基于傅里叶变换和人工神经网络的电子信息工程桥梁结构损伤诊断方法。首先对原始干扰数据进行标准化。然后，将随机噪声和高斯噪声注入原始数据，并使用离散傅里叶变换对有噪声的数据进行分析。最后，使用反向传播BP神经网络确定这些损伤点。数值算例表明，所提方法可以有效地识别桥梁的结构损伤。

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