STRUCTURAL IDENTIFICATION FROM AMBIENT VIBRATION MEASUREMENT USING THE MULTIVARIATE AR MODEL-Reference-Cited by-同舟云学术

STRUCTURAL IDENTIFICATION FROM AMBIENT VIBRATION MEASUREMENT USING THE MULTIVARIATE AR MODEL

Published:2001-03 Issue:3 Volume:241 Page:337-359
ISSN:0022-460X
Container-title:Journal of Sound and Vibration
language:en
Short-container-title:Journal of Sound and Vibration

Author:

HUANG C.S.

Publisher

Elsevier BV

Subject

Mechanical Engineering,Mechanics of Materials,Acoustics and Ultrasonics,Condensed Matter Physics

Reference26 articles.

1. Large modal survey testing using the Ibrahim time domain identify technique;IBRAHIM;The AIAA Journal of Spacecraft and Rockets,1982

2. Application of random decrement technique to identify the characteristics of a building in time domain from ambient vibration measurement (in Chinese);HUANG;Journal of the Chinese Institute of Civil and Hydraulic Engineering,1998

3. Advanced analysis methods improve modal test results;VOLD;Sound and Vibration,1983

4. Discrete time series synthesis of randomly excited structural system response;GERSCH;The Journal of the Acoustical Society of America,1972

5. On the achievable accuracy of structural system parameter estimates;GERSCH;Journal of Sound and Vibration,1974

Cited by 77 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Substructural damage identification using autoregressive moving average with exogenous inputs model and sparse regularization;Advances in Structural Engineering;2023-04-11

2. An acceleration-oriented form of simple piecewise linearisation in time series to assess seismically damaged structures;Frontiers in Built Environment;2023-01-23

3. An enhanced method to reduce reconstruction error of compressed sensing for structure vibration signals;Mechanical Systems and Signal Processing;2023-01

4. Unsupervised statistical estimation of offshore wind turbine vibration for structural damage detection under varying environmental conditions;Engineering Structures;2022-12

5. Simple piecewise linearisation in time series for time‐domain inversion to estimate physical parameters of nonlinear structures;Structural Control and Health Monitoring;2020-08-04