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A Neural Network-Based System for Bridge Health Monitoring

机译：基于神经网络的桥梁健康监测系统

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摘要

A bridge health monitoring system based on neural network technology is proposed in this paper. Two major ground excitations recorded in Taiwan were used to establish the NARX-based system. Analytical results from different methods including transfer function, ARX-based model, and the proposed neural network-based system were used to evaluate the efficiency in health monitoring. The result shows that the proposed system can be used successfully with superior advantages after major earthquakes for bridge health monitoring.
机译：本文提出了一种基于神经网络技术的桥梁健康监测系统。在台湾记录的两个主要地面兴奋被用来建立基于纳尔克克的系统。不同方法的分析结果包括传递函数，基于ARX的模型和所提出的基于神经网络的系统，用于评估健康监测的效率。结果表明，在桥梁健康监测的主要地震后，所提出的系统可以以优异的优势使用。

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