Research of Deteriorated Data Restoring in Nonlinear System

摘要：

Despite the acquisition system of the bridge structural health monitoring system is designed by the advanced sensors,the deteriorated data occurred by the acquisition system is the main reason to bring the illusive alarm(above 80％),especially deteriorated data,which is nonlinear and don’t filtered by common methods.The deflection is one most parameter of bridge structural health monitoring system,and it occurs vertical displacement when bridge was loaded or self weight.According the deflection data character,a novel method based on the correlation analysis of bridge’s checking points and the RBF neural networks is proposed for restoring nonlinear deflection when this checking point is deteriorated at some times.Compared with conventional methods(its MSE is 4.3815),the proposed approach(its MSE is 0.7973)assures more accurate and accords with practice.Simulation results verify the effectiveness of the designed method and theoretical discussions.

关键词： bridge structural health monitoring system deflection deteriorated

作者: ShunRen Hu WeiMin Chen YuMei Fu ZongBao Liang

作者单位: Key Laboratory for Optoelectronic Technology & System Under Ministry of Education

会议类型: 国际会议

会议名称: The World Forum on Smart Materials and Smart Structures Technology(SMSST07)(2007年世界智能材料与智能结构技术论坛)

会议地点: 重庆·南京

会议语种:英文

在线出版日期: 2007-05-01（万方平台首次上网日期，不代表论文的发表时间）