Results 151 to 160 of about 3,141,474 (179)

Imminent Earthquake Analysis Based on Stochastic Subspace Identification

Advanced Materials Research, 2013
A novel imminent earthquake analysis method is proposed. Firstly, BHZ data are acquired from seismic networks, then, structure parameters of part of the earth are identified based on SSI (stochastic subspace identification); finally, imminent earthquake is analyzed based on the results of system identification.
Ling Li, Guo Bin Jin
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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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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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Subspace identification of combined deterministic-stochastic systems by LQ decomposition

Proceedings of the 2010 American Control Conference, 2010
In this paper, we revisit the realization-based subspace identification problem for combined deterministic-stochastic discrete-time LTI systems. Under the assumption that the past horizon is sufficiently large, we reveal a block lower triangular structure of an L-factor related to the stochastic component in the LQ decomposition of data matrix based on
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Determination of flutter derivatives by stochastic subspace identification technique

Wind and Structures, 2004
Flutter derivatives provide the basis of predicting the critical wind speed in flutter and buffeting analysis of long-span cable-supported bridges. In this paper, one popular stochastic system identification technique, covariance-driven Stochastic Subspace Identification(SSI in short), is firstly presented for estimation of the flutter derivatives of ...
Xian-Rong Qin, Ming Gu
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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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Stochastic Subspace Identification Applied to the Weave Mode of Motorcycles

Journal of Dynamic Systems, Measurement, and Control, 2013
This paper presents a safe and practical method for the identification of the weave mode of motorcycles without the need for the test rider to provide a deliberate lateral input to excite a large perceptible weave response. The solution utilizes stochastic subspace identification (SSI) and relies on the smooth surface of the road under normal steady ...
James C. Brendelson, Anoop K. Dhingra
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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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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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