Output-only modal parameter estimation of time-varying structures based on the support vector machine and vector time-dependent autoregressive models

被引:0
|
作者
Zhou, S. -D. [1 ,2 ]
Cao, B. -Y. [1 ]
Yu, L. [1 ]
Liu, L. [1 ,2 ]
机构
[1] Beijing Inst Technol, Sch Aerosp Engn, Zhongguancun South St 5,Qiushi Bldg 314, Beijing 100081, Peoples R China
[2] Minist Educ, Key Lab Dynam & Control Flight Vehicle, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
DOMAIN METHODS; IDENTIFICATION;
D O I
暂无
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
This paper proposes a method of output-only modal identification of TV structures via combining the SVM and vector time-dependent autoregressive (VTAR) models for the cases of multiple outputs. Firstly, the formulation of the SVM-based modal estimator for the parameters of VTAR models is derived. Secondly, the bounded quadratic programming (QP) solution of SVM is introduced. Thirdly, the transformation from the estimated parameters to the modal parameters are presented. Finally, the proposed method a series numerical examples validate the proposed method.
引用
收藏
页码:2885 / 2894
页数:10
相关论文
共 50 条
  • [21] Adaptive estimation of vector autoregressive models with time-varying variance: Application to testing linear causality in mean
    Patilea, Valentin
    Raissi, Hamdi
    JOURNAL OF STATISTICAL PLANNING AND INFERENCE, 2012, 142 (11) : 2891 - 2912
  • [22] Identifying Dynamic Effective Connectivity States in fMRI Based on Time-varying Vector Autoregressive Models
    Samdin, S. B.
    Ting, C. M.
    Salleh, S. H.
    Hamedi, M.
    Noor, A. M.
    INTERNATIONAL CONFERENCE FOR INNOVATION IN BIOMEDICAL ENGINEERING AND LIFE SCIENCES, ICIBEL2015, 2016, 56 : 243 - 247
  • [23] PARAMETER-ESTIMATION OF TIME-VARYING AUTOREGRESSIVE MODELS USING THE GIBBS SAMPLER
    RAJAN, JJ
    RAYNER, PJW
    ELECTRONICS LETTERS, 1995, 31 (13) : 1035 - 1036
  • [24] Online Support Vector Regression With Varying Parameters for Time-Dependent Data
    Omitaomu, Olufemi A.
    Jeong, Myong K.
    Badiru, Adedeji B.
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2011, 41 (01): : 191 - 197
  • [25] Output-only stochastic identification of a time-varying structure via functional series TARMA models
    Poulimenos, Aggelos G.
    Fassois, Spilios D.
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2009, 23 (04) : 1180 - 1204
  • [26] Output-only time-frequency-domain modal identification of time-varying structures using a recursive two-stage least square method
    Zhou, S-D
    Heylen, W.
    Sas, P.
    Liu, L.
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING (ISMA2012) / INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS (USD2012), 2012, : 2731 - 2743
  • [27] Choosing Between Different Time-Varying Volatility Models for Structural Vector Autoregressive Analysis
    Luetkepohl, Helmut
    Schlaak, Thore
    OXFORD BULLETIN OF ECONOMICS AND STATISTICS, 2018, 80 (04) : 715 - 735
  • [28] Local composite quantile regression estimation of time-varying parameter vector for multidimensional time-inhomogeneous diffusion models
    Wang, Ji-Xia
    Xiao, Qing-Xian
    JOURNAL OF APPLIED STATISTICS, 2014, 41 (11) : 2437 - 2449
  • [29] Bayesian analysis of time-varying parameter vector autoregressive model for the Japanese economy and monetary policy
    Nakajima, Jouchi
    Kasuya, Munehisa
    Watanabe, Toshiaki
    JOURNAL OF THE JAPANESE AND INTERNATIONAL ECONOMIES, 2011, 25 (03) : 225 - 245
  • [30] Output-only recursive identification of time-varying structures using a Gaussian process regression TARMA approach
    Ma, Z. -S.
    Liu, L.
    Zhou, S. -D.
    Naets, F.
    Heylen, W.
    Desmet, W.
    PROCEEDINGS OF ISMA2016 INTERNATIONAL CONFERENCE ON NOISE AND VIBRATION ENGINEERING AND USD2016 INTERNATIONAL CONFERENCE ON UNCERTAINTY IN STRUCTURAL DYNAMICS, 2016, : 2859 - 2871