Results 181 to 190 of about 2,193 (205)

STOCHASTIC SUBSPACE IDENTIFICATION GUARANTEEING STABILITY AND MINIMUM PHASE

IFAC Proceedings Volumes, 2005
Abstract This paper presents a stochastic subspace identification algorithm to compute stable, minimum phase models from a stationary time-series data. The algorithm is based on spectral factorization techniques and a stochastic subspace identification method via a block LQ decomposition (Tanaka and Katayama, 2003 c ).
Hideyuki TANAKA, Tohru KATAYAMA
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Modal identification of arch dams using balanced stochastic subspace identification

Journal of Vibration and Control, 2016
Dynamic characteristics extracted from ambient and forced vibration tests are always associated with some level of uncertainties because of unknown nature of applied forces, existence of ambient noises as well as measurement errors. Stochastic Subspace Methods are among the most accurate and consistent methods within the domain of operational modal ...
Reza Tarinejad, Mehran Pourgholi
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Confidence Intervals on Modal Parameters in Stochastic Subspace Identification

IABSE Reports, 2010
<p>In Operational Modal Analysis, the modal parameters (natural frequencies, damping ratios and mode shapes) obtained from Stochastic Subspace Identification (SSI) of a structure, are afflicted with statistical uncertainty. For evaluating the quality of the obtained results it is essential to know the appropriate confidence intervals of these ...
Döhler, Michael, Lam, Xuan-Binh, Mevel, Laurent   +2 more
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Reference based stochastic subspace identification in civil engineering

Inverse Problems in Engineering, 2000
A specific strategy is required when performing vibration tests on civil engineering structures. The use of artificial excitation sources such as shakers or drop weights is often unpractical and expensive. Ambient excitation on the contrary is freely available (traffic, wind), but it causes other challenges.
B. Peeters, G. De Roeck
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A NOVEL VARIATIONAL BAYESIAN APPROACH TO STOCHASTIC SUBSPACE IDENTIFICATION

Proceedings of the 5th International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2019), 2023
O'Connell, B.J., Champneys, M.D., Cross, E.J., Rogers, T.J.   +3 more
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A Note on LQ Decomposition in Stochastic Subspace Identification

2010
In this paper, we consider the role of LQ decomposition in the realization-based subspace identification method for discrete-time stochastic systems as a continuation of our earlier work [6] in deterministic setting. Under the assumption that the past horizon of the data matrix is infinite, we reveal a nice block lower triangular structure of a certain
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Modal Identification of Civil Structures via Stochastic Subspace Algorithm with Monte Carlo–Based Stabilization Diagram

Journal of Structural Engineering, 2022
Kang Zhou, Q S Li, Xu-Liang Han
exaly  

Enhancing the performance of stochastic subspace identification method via energy-oriented categorization of modal components

Engineering Structures, 2021
Yuncheng He, Jiyang Fu, J R Wu
exaly  

Machine learning-based stochastic subspace identification method for structural modal parameters

Engineering Structures, 2023
Bo Liu, Yuequan Bao
exaly  

Fast online implementation of covariance-driven stochastic subspace identification

Mechanical Systems and Signal Processing, 2023
Siyuan Sun, Qilin Zhang, Roland Wüchner   +2 more
exaly