Spectral and modal parameter estimation from output-only measurements

Desforges, M.J.; Cooper, Jonathan; Wright, J.F.

doi:10.1006/mssp.1995.0014

Cited by 27 publications

(17 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A number of technical papers illustrate different parameter estimation methods, usually applied to a particular case study, and several review papers concerning the state‐of‐the‐art identification methods and recent developments are present in the scientific literature 13–15. Certain efforts to produce qualitative and quantitative comparisons among different methods, mostly based on experimental or pseudo‐experimental data from benchmark structures, can also be mentioned 16–27. Estimation accuracy and robustness, algorithmic efficiency, computational costs, and operational feasibility are some of the key points considered by comparative studies in evaluating the performance potential of different output‐only techniques.…”

Section: Introductionmentioning

confidence: 99%

Comparative study of vibration-based parametric identification techniques for a three-dimensional frame structure

Antonacci

Stefano

Gattulli

et al. 2011

Struct. Control Health Monit.

View full text Add to dashboard Cite

SUMMARY The entire structural identification process, starting from measurement of the experimental response to ambient vibration, and concluding with the assessment of a representative dynamic model, depends upon an informed selection of appropriate data treatment techniques. The paper compares different procedures for identifying both modal and physical models. Four approaches (EFFD, ERA, SSI, and TFIE) for output‐only modal identification are discussed. Their performance is evaluated using experimental data extracted from the ambient vibration response of a three‐dimensional frame. The discussion of the identification results throws light on the intrinsic characteristics of each procedure, while the particular features of the structure, presenting unexpected local modes, demonstrate the necessity of a hierarchical treatment of the available information, based on a solid engineering knowledge. The calibration of a physical model is approached using an exact inverse procedure, based on a parametric analytical model, or automatic techniques of error minimization, based on finite element multi‐models. The achievement of a good relative agreement, measured through performance‐based indexes, increases the general confidence on the results independently obtained from each modal identification and model updating method. Copyright © 2011 John Wiley & Sons, Ltd.

show abstract

Section: Introductionmentioning

confidence: 99%

Comparative study of vibration-based parametric identification techniques for a three-dimensional frame structure

Antonacci

Stefano

Gattulli

et al. 2011

Struct. Control Health Monit.

View full text Add to dashboard Cite

show abstract

“…To solve this problem we use the Wavelet Transform (WT), introduced by Morlet (Goupillaud, Grossman and Morlet, 1985). With WT the size of the observation window varies with the frequency, allowing that high frequency events can be located with best temporary resolution, while the low frequency components can be analyzed with best resolution in the Fourier domain.…”

Section: The Wavelet Transformmentioning

confidence: 99%

“…In these cases the system is multi-excited and the forces are not totally known. In general, under certain operational conditions, the input data can be approximate to white noise (Desforges, Cooper and Wright, 1995). Therefore the development of methods for study the dynamic behavior of systems excited by random forces becomes important.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Output-only structural identification of random vibrating systems

Mucheroni¹,

Cardoso²

2006

J. Braz. Soc. Mech. Sci. & Eng.

View full text Add to dashboard Cite

A new form to carry out stochastic identification of structures in operational conditions using a non recursive method, the statistic analysis and the wavelet transform, is presented. The statistic analysis contributed to select the best system order and to automation of computational procedures. In general the identification of low frequencies is a difficult task. The wavelet transform is an essential tool for compression of data making possible the complete identification including low frequencies. In addition it improves the computational efficiency. The study of four degrees of freedom simulated system is presented and the results are compared with the analytical modal parameters.

show abstract

“…There have been several different approaches to estimate modal parameters from output-only data. They include peak-picking from power spectral density (PSD) functions [2][3][4], Least-squares curve fitting technique [5,6], autoregressive moving average (ARMA) models [1,[7][8][9][10], the subspace techniques [11][12][13][14][15], and the natural excitation technique (NExT) [16,17] using cross-correlation functions instead of impulse response functions coupled with some time-domain modal identification schemes such as the random decrement processing with the Ibrahim time-domain (ITD) technique [18], the maximum entropy method (MEM) [6], and the polyreference least-squares complex exponential (PRLSCE) method [1,11]. The natural excitation technique using cross-correlation functions in time domain has been a very powerful tool for the modal analysis of structures under ambient excitation.…”

Section: Introductionmentioning

confidence: 99%