首页 | 本学科首页   官方微博 | 高级检索  
     检索      

一种利用时间序列分析的特征提取与损伤预警方法
引用本文:刘毅,李爱群,费庆国,丁幼亮.一种利用时间序列分析的特征提取与损伤预警方法[J].东南大学学报,2007,23(1):86-91.
作者姓名:刘毅  李爱群  费庆国  丁幼亮
作者单位:东南大学混凝土及预应力混凝土结构教育部重点实验室 南京210096
基金项目:国家高技术研究发展计划(863计划),国家自然科学基金
摘    要:针对结构健康监测中如何基于在线监测数据实现损伤诊断的问题,提出了一种利用时间序列分析ARMA模型的特征提取和损伤预警方法.首先对所有监测数据样本建立ARMA模型,以模型中AR部分参数的主成分矩阵构建Mahalanobis距离判别函数,提出了一种新的结构损伤敏感指标DDSF.然后,采用t-检验考察该指标在损伤前后是否存在显著性变化,从而可以有效地实现结构损伤预警.三跨连续梁数值算例表明,提出的结构损伤特征指标对结构的微小损伤具有敏感性,具备结构在线实时损伤预警的应用价值.

关 键 词:特征提取  损伤预警  时间序列分析  结构健康监测
文章编号:24268024
修稿时间:11 13 2006 12:00AM

Feature extraction and damage alarming using time series analysis
Liu Yi,Li Aiqun,Fei Qingguo,Ding Youliang.Feature extraction and damage alarming using time series analysis[J].Journal of Southeast University(English Edition),2007,23(1):86-91.
Authors:Liu Yi  Li Aiqun  Fei Qingguo  Ding Youliang
Institution:Key Laboratory of Concrete and Prestressed Concrete Structure of Ministry of Education, Southeast University, Nanjing 210096, China
Abstract:Aiming at the problem of on-line damage diagnosis in structural health monitoring (SHM), an algorithm of feature extraction and damage alarming based on auto-regressive moving-average (ARMA) time series analysis is presented.The monitoring data were first modeled as ARMA models,while a principal-component matrix derived from the AR coefficients of these models was utilized to establish the Mahalanobis-distance criterion functions.Then,a new damage-sensitive feature index DDSF is proposed.A hypothesis test involving the t-test method is further applied to obtain a decision of damage alarming as the mean value of DDSF had significantly changed after damage.The numerical results of a three-span-girder model shows that the defined index is sensitive to subtle structural damage,and the proposed algorithm can be applied to the on-line damage alarming in SHM.
Keywords:feature extraction  damage alarming  time series analysis  structural health monitoring
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号