一种利用时间序列分析的特征提取与损伤预警方法OA
Feature extraction and damage alarming using time series analysis
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.
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 …查看全部>>
刘毅;李爱群;费庆国;丁幼亮
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
建筑与水利
特征提取损伤预警时间序列分析结构健康监测
feature extractiondamage alarmingtime series analysisstructural health monitoring
《东南大学学报（英文版）》 2007 (1)
重大工程结构健康监测及其集成系统
86-91,6
The National High Technology Research and Development Program of China (863 Program) (No.2006AA04Z416),the National Natural Science Foundation of China (No.50538020).
评论