An Identification Method of Bridge Structural Damage Based on Fourier Transform and Neural Network in Electronic Information Engineering

Abstract

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.