Data Fusion Framework for Bridge Structural Health Monitoring

杨杰; 李爱群; 李兆霞

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Data Fusion Framework for Bridge Structural Health Monitoring

更新时间：2025-12-11

- Data Fusion Framework for Bridge Structural Health Monitoring
- Issue 3, Pages: 292-297(2008)
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  CLC： 446.2
- Published：2008
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[1]杨杰,李爱群,李兆霞.桥梁结构健康监测的数据融合框架[J].防灾减灾工程学报,2008(03):292-297.

杨杰, 李爱群, 李兆霞. Data Fusion Framework for Bridge Structural Health Monitoring[J]. 2008, (3): 292-297.
[1]杨杰,李爱群,李兆霞.桥梁结构健康监测的数据融合框架[J].防灾减灾工程学报,2008(03):292-297. DOI：

杨杰, 李爱群, 李兆霞. Data Fusion Framework for Bridge Structural Health Monitoring[J]. 2008, (3): 292-297. DOI：

摘要

大型桥梁结构健康监测系统需要安装大量各种类型的传感器

如何有效利用这些实时采集的信息以保障桥梁的连续安全运营是一个核心课题

而数据融合技术是解决这一问题的一个新方向。本文对近几十年来数据融合技术的发展做了全面综述

介绍了常用的数据融合模型

评析了各种常用融合算法。基于对健康监测系统的细致分析

在前人工作基础上

提出了桥梁结构健康监测的数据融合框架

对框架内的各个功能模块进行了功能定位

并给出了相应阶段适宜的融合算法。

Abstract

Large numbers of different types of sensors are installed in bridge health monitoring system.How to use these real time collected data to insure continued safe service is a key task.Data fusion technology may provide a new solution.This paper summarizes data fusion’ progress in the last several decades

and introduces most used data fusion model

and analyzes several fusion arithmetic.Finally a data fusion framework for bridge health monitoring is presented by detailedly studying the health monitoring system

based on the former research work.Every function model in the framework is assigned different duty

and the feasible fusion arithmetic in each phase is proposed.

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references

润扬大桥结构健康监测策略 [J]. 缪长青,李爱群,韩晓林,李兆霞,吉林,杨玉冬. 东南大学学报(自然科学版) . 2005(05)

基于多传感器信息融合的结构损伤识别研究 [J]. 郭健,陈勇,孙炳楠,楼文娟. 振动工程学报 . 2005(02)

结构健康监测中的数据融合技术 [J]. 姜绍飞,王留生,殷晓志,刘明. 沈阳建筑大学学报(自然科学版) . 2005(01)

Data fusion/data mining-based architecture for condition-based maintenance [J] . D. Raheja,J. Llinas,R. Nagi,C. Romanowski. International Journal of Production Research . 2006 (14)

System Identification through Model Composition and Stochastic Search [J] . Y. Robert-Nicoud,B. Raphael,I. F. Smith. Journal of Computing in Civil Engineering . 2005 (3)

Data mining techniques for improving the reliability of system identification [J] . S. Saitta,B. Raphael,I.F.C. Smith. Advanced Engineering Informatics . 2005 (4)

Technology developments in structural health monitoring of large-scale bridges [J] . J.M. Ko,Y.Q. Ni. Engineering Structures . 2005 (12)

A Review of data fusion models and architectures: towards engineering guidelines [J] . Jaime Esteban,Andrew Starr,Robert Willetts,Paul Hannah,Peter Bryanston-Cross. Neural Computing and Applications . 2005 (4)

Issues in Infrastructure Health Monitoring for Management [J] . A. E. Aktan,F. N. Catbas,K. A. Grimmelsman,C. J. Tsikos. Journal of Engineering Mechanics . 2000 (7)

A Generalization of Bayesian Inference [J] . A. P. Dempster. Journal of the Royal Statistical Society. Series . 1968 (2)

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