基于小波神经网络的桥梁健康监测研究

摘要

为了能够有效地对桥梁结构进行健康监测,深入研究小波神经网络在其中的应用.分析小波分析的基本原理,研究小波神经网络的基本原理,设计小波神经网络的算法流程,讨论桥梁健康监测的数据采集和传输系统.最后,以某大桥为例进行基于小波神经网络的桥梁结构健康监测仿真分析,仿真结果表明该方法具有较快的监测速度和较高的监测精度.%In order to carry out the health monitoring of bridge structure effectively,the application of wavelet neural network on it is studied in depth.The basic theory of the wavelet analysis is analyzed,and the basic theory of wavelet neural network is studied,and then the algorithm procedure of wavelet neural network is designed,data collection and transmission system of health monitoring for the bridge is discussed.Finally,a big bridge is used as an example to carry out simulation analysis of health monitoring of it based on wavelet neural network,and simulation results show that this method has quick monitoring speed and high monitoring precision.