一种新型的桥梁健康检测算法  

New Bridge Health Detection Algorithm

作　　者：李静[1] 杨小帆[1] 孙启干[1] 

机构地区：[1]重庆大学计算机学院,重庆400044

出　　处：《计算机工程》2011年第6期234-236,共3页Computer Engineering

基　　金：教育部新世纪优秀人才支持计划基金资助项目(NCET-05-0759);重庆市自然科学基金资助重点项目(CSTC2008BB2195)

摘　　要：针对大型桥梁故障诊断问题,提出一种新型高效的诊断算法。该算法将一座桥梁系统看成由大量的"团"组成,每个"团"由一个挠度检测点及其相应的传感器构成,具体分3个阶段进行:(1)受到"挠度共振"的启发,根据线性回归预测理论建立一个测试模型;(2)利用测试模型对所有"团"进行测试;(3)在测试基础上进行综合分析得出检测结果。对真实桥梁进行检测实验,结果表明该方法故障检测率达81.8%。In order to solve the problem of large-scale bridge fault diagnosis,this paper proposes a new efficient algorithm.It addresses the issue of identifying abnormal cliques on bridges,where each clique is composed of a deflection checkpoint and the dedicated sensor.The detection method consists of three stages.First,inspired by ＂deflection resonance＂ between different checkpoints,a test pattern is created based on the theory of regression.Second,a set of tests on cliques are conducted based on the established test pattern,and the test outcomes are collected to form a syndrome.Finally,a detection result is achieved based on the syndrome.The proposed method is then applied to the detection of a real-life bridge,and result shows the detection rate reaches 81.8%.

关 键 词：桥梁系统 健康检测 挠度共振 线性回归 异常“团” 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]