Online damage detection using pair cointegration method of time-varying displacement

被引:0
|
作者
机构
[1] Zhou, Cui
[2] Li, Hong-Nan
[3] Li, Dong-Sheng
[4] Lin, You-Xin
[5] Yi, Ting-Hua
关键词
Structural health monitoring;
D O I
10.12989/sss.2013.12.3-4.309
中图分类号
TU502 [材料性能及试验];
学科分类号
摘要
Environmental and operational variables are inevitable concerns by researchers and engineers when implementing the damage detection algorithm in practical projects, because the change of structural behavior could be masked by the conditions in a large extent. Thus, reliable damage detection methods should have a virtue of immunity from environmental and operational variables. In this paper, the pair cointegration method was presented as a novel way to remove the effect of environmental variables. At the beginning, the concept and procedure of this approach were introduced, and then the theoretical formulation and numerical simulations were put forward to illustrate the feasibility. The jump exceeding the control limit in the residual indicates the occurrence of damage, while the direction and magnitude imply the most potential damage location. In addition, the simulation results show that the proposed method has strong ability to resist the noise. Copyright © 2013 Techno-Press, Ltd.
引用
收藏
页码:3 / 4
相关论文
共 50 条
  • [1] Online damage detection using pair cointegration method of time-varying displacement
    Zhou, Cui
    Li, Hong-Nan
    Li, Dong-Sheng
    Lin, You-Xin
    Yi, Ting-Hua
    SMART STRUCTURES AND SYSTEMS, 2013, 12 (3-4) : 309 - 325
  • [2] TIME-VARYING COINTEGRATION
    Bierens, Herman J.
    Martins, Luis F.
    ECONOMETRIC THEORY, 2010, 26 (05) : 1453 - 1490
  • [3] Time-varying cointegration model using wavelets
    da Fonseca, Eder Lucio
    Alencar, Airlane Pereira
    Morettin, Pedro Alberto
    STATISTICS & PROBABILITY LETTERS, 2019, 145 : 260 - 267
  • [4] Time-varying cointegration, identification, and cointegration spaces
    Martins, Luis Filipe
    Gabriel, Vasco J.
    STUDIES IN NONLINEAR DYNAMICS AND ECONOMETRICS, 2013, 17 (02): : 199 - 209
  • [5] Time-varying lag cointegration
    Franses, Philip Hans
    JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2021, 390
  • [6] Damage detection in time-varying systems by means of the PCA method
    Bellino, A.
    Garibaldi, L.
    Fasana, A.
    Marchesiello, S.
    PROCEEDINGS OF ISMA2010 - INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING INCLUDING USD2010, 2010, : 783 - 794
  • [7] COINTEGRATION AND TIME-VARYING PARAMETERS - A COMMENT
    HONOHAN, P
    EUROPEAN ECONOMIC REVIEW, 1993, 37 (06) : 1279 - 1281
  • [8] COINTEGRATION AND TIME-VARYING PARAMETERS - A REPLY
    CANARELLA, G
    POLLARD, S
    LAI, K
    EUROPEAN ECONOMIC REVIEW, 1993, 37 (06) : 1283 - 1284
  • [9] Time-varying cointegration and the Kalman filter
    Eroglu, Burak Alparslan
    Miller, J. Isaac
    Yigit, Taner
    ECONOMETRIC REVIEWS, 2022, 41 (01) : 1 - 21
  • [10] Structural time-varying damage detection using synchrosqueezing wavelet transform
    Liu, Jing-Liang
    Wang, Zuo-Cai
    Ren, Wei-Xin
    Li, Xing-Xin
    SMART STRUCTURES AND SYSTEMS, 2015, 15 (01) : 119 - 133