A Neural Network-Based System for Bridge Health Monitoring

被引：0

作者：

Lin, Tzu-Kang ^{[1
]}

Huang, Ming-Chih ^{[1
]}

Wang, Jer-Fu ^{[1
]}

机构：

[1] 1 Jyulun Rd, Kaohsiung 820, Taiwan

来源：

MANAGEMENT, MANUFACTURING AND MATERIALS ENGINEERING, PTS 1 AND 2 | 2012年 / 452-453卷

关键词：

System Identification; bridge health monitoring; nonlinear characteristic;

D O I：

10.4028/www.scientific.net/AMR.452-453.557

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

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.

引用

页码：557 / +

页数：2

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