Results 171 to 180 of about 28,524 (229)

Oscillatory Stability Limit Prediction Using Stochastic Subspace Identification

IEEE Transactions on Power Systems, 2006
Determining stability limits and maximum loading margins in a power system is important and can be of significant help for system operators for preventing stability problems. In this paper, stochastic subspace identification is employed to extract the critical mode(s) from the measured ambient noise without requiring artificial disturbances (e.g., line
H. Ghasemi, C.A. Canizares, A. Moshref
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Recursive stochastic subspace identification for structural parameter estimation

SPIE Proceedings, 2009
Identification of structural parameters under ambient condition is an important research topic for structural health monitoring and damage identification. This problem is especially challenging in practice as these structural parameters could vary with time under severe excitation.
C. C. Chang, Z. Li
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Principal component stochastic subspace identification for output-only modal analysis

Mechanical systems and signal processing
Stochastic Subspace Identification (SSI) is widely used in modal analysis of engineering structures, known for its numerical stability and high accuracy in modal parameter identification.
Biqi Chen, Jun Zhang, Ying Wang
semanticscholar   +1 more source

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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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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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 Cable Defect Localization Method Based on Multiresolution Singular Value Decomposition and Stochastic Subspace Identification

IEEE Transactions on Instrumentation and Measurement
Frequency-domain reflection (FDR) stands as an effective technique for localizing cable defects. To address the issue of the significant influence of window functions and interference problems on the defect location accuracy of traditional FDR, this ...
Yuan Li, Pingtao Duan, Kai Zhou, Xianjie Rao, Yanfeng Gao, Zhaowei Peng, S. Huang   +6 more
semanticscholar   +1 more source

Subspace identification for a stochastic model of plague

International Journal of Biomathematics, 2016
In this paper, a stochastic model of plague is first studied by subspace identification. First, the discrete model of plague is obtained based on the classical model. The corresponding stochastic model is proposed for the existence of stochastic disturbances. Second, for the model, the parameter matrices and noise intensity are obtained.
Yu, Miao, Liu, Jianchang
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On “Subspace Methods” Identification and Stochastic Model Reduction

IFAC Proceedings Volumes, 1994
Abstract In this paper the problem of stochastic model identification from estimated covariances is considered. In this context, we analyze a class of popular subspace identification procedures in the theoretical framework of rational covariance extension and balanced model reduction, and we demonstrate that they are based on a hidden assumption ...
Anders Lindquist, Giorgio Picci
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An experimental validation of the Stochastic Subspace Identification

PAMM, 2004
AbstractIn this contribution we derive and experimentally validate the Stochastic Subspace Identification. Additionally we compare the results with an updated finite element model. (© 2004 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
A. S. Kompalka, S. Reese
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