Time-Frequency Domain Modal Parameter Estimation of Time-Varying Structures Using a Two-Step Least Square Estimator

Author(s):  
Si-Da Zhou ◽  
Ward Heylen ◽  
Paul Sas ◽  
Li Liu
2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Si-Da Zhou ◽  
Li Liu ◽  
Wu Yang ◽  
Zhi-Sai Ma

Real-time estimation of modal parameters of time-varying structures can conduct an obvious contribution to some specific applications in structural dynamic area, such as health monitoring, damage detection, and vibration control; the recursive algorithm of modal parameter estimation supplies one of fundamentals for acquiring modal parameters in real-time. This paper presents a vector multistage recursive method of modal parameter estimation for time-varying structures in hybrid time and frequency domain, including stages of recursive estimation of time-dependent power spectra, frozen-time modal parameter estimation, recursive modal validation, and continuous-time estimation of modal parameters. An experimental example validates the proposed method finally.


2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Zhi-Sai Ma ◽  
Li Liu ◽  
Si-Da Zhou ◽  
Lei Yu

Modal parameter estimation plays an important role in vibration-based damage detection and is worth more attention and investigation, as changes in modal parameters are usually being used as damage indicators. This paper focuses on the problem of output-only modal parameter recursive estimation of time-varying structures based upon parameterized representations of the time-dependent autoregressive moving average (TARMA). A kernel ridge regression functional series TARMA (FS-TARMA) recursive identification scheme is proposed and subsequently employed for the modal parameter estimation of a numerical three-degree-of-freedom time-varying structural system and a laboratory time-varying structure consisting of a simply supported beam and a moving mass sliding on it. The proposed method is comparatively assessed against an existing recursive pseudolinear regression FS-TARMA approach via Monte Carlo experiments and shown to be capable of accurately tracking the time-varying dynamics in a recursive manner.


2003 ◽  
Vol 262 (3) ◽  
pp. 677-705 ◽  
Author(s):  
William A. Fladung ◽  
Allyn W. Phillips ◽  
Randall J. Allemang

2004 ◽  
Vol 18 (4) ◽  
pp. 759-780 ◽  
Author(s):  
P Verboven ◽  
B Cauberghe ◽  
E Parloo ◽  
S Vanlanduit ◽  
P Guillaume

2004 ◽  
Vol 276 (3-5) ◽  
pp. 957-979 ◽  
Author(s):  
P Verboven ◽  
P Guillaume ◽  
B Cauberghe ◽  
S Vanlanduit ◽  
E Parloo

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