Results 181 to 190 of about 28,524 (229)
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, 2020
For the quantitative dynamic analysis of aero gas turbines, accurate modal parameters must be identified. However, the complicated structure of thin-walled casings may cause false mode identification and mode absences if conventional methods are used ...
Chen Wang +4 more
semanticscholar +1 more source
For the quantitative dynamic analysis of aero gas turbines, accurate modal parameters must be identified. However, the complicated structure of thin-walled casings may cause false mode identification and mode absences if conventional methods are used ...
Chen Wang +4 more
semanticscholar +1 more source
IET Generation, Transmission & Distribution, 2020
This study proposes to extend the numerical algorithm for subspace state space system identification (N4SID) for power grid electromechanical dynamics monitoring using the multi-channel noisy synchrophasor measurements. The oscillation modes, mode shapes,
Tao Jiang +5 more
semanticscholar +1 more source
This study proposes to extend the numerical algorithm for subspace state space system identification (N4SID) for power grid electromechanical dynamics monitoring using the multi-channel noisy synchrophasor measurements. The oscillation modes, mode shapes,
Tao Jiang +5 more
semanticscholar +1 more source
International Journal of Electrical Power & Energy Systems, 2019
Accurate estimation of low frequency modes in the power system is vital for improving its small signal stability. Stochastic subspace identification (SSI) is a subspace based method which provides fairly accurate estimates of these low frequency modes ...
Joice G. Philip, Trapti Jain
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Accurate estimation of low frequency modes in the power system is vital for improving its small signal stability. Stochastic subspace identification (SSI) is a subspace based method which provides fairly accurate estimates of these low frequency modes ...
Joice G. Philip, Trapti Jain
semanticscholar +1 more source
An improved stochastic subspace identification for operational modal analysis
Measurement, 2012Abstract An improved stochastic subspace identification algorithm is introduced to solve the low computational efficiency problem of the Data-driven stochastic subspace identification. Compared with the conventional algorithm, it needs much less cost of memory and computing time because it does not have a process of the QR decomposition of Hankel ...
Guowen Zhang, Baoping Tang, Guangwu Tang
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Subspace-based Identification of Stochastic Systems Using Innovation Model
IFAC Proceedings Volumes, 1997Abstract In this paper a 4SID algorithm is proposed to identify a class of linear stochastic systems from the noisy input-output data sequence. First, the standard linear stochastic models are replaced equivalently by the innovations representation of Kalman filter equation.
Akira Ohsumi +2 more
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Advances in Structural Engineering, 2019
The stability assessment of stay cables based on the damping ratios of lower cable modes has attracted a large amount of research efforts. An accurate determination of those modal damping ratios is consequently required for the analysis or health ...
Chien-Chou Chen +3 more
semanticscholar +1 more source
The stability assessment of stay cables based on the damping ratios of lower cable modes has attracted a large amount of research efforts. An accurate determination of those modal damping ratios is consequently required for the analysis or health ...
Chien-Chou Chen +3 more
semanticscholar +1 more source
Stochastic subspace system identification using multivariate time-frequency distributions
SPIE Proceedings, 2017Structural health monitoring assesses structural integrity by processing the measured responses of structures. One particular group in the structural health monitoring research is to conduct the operational modal analysis and then to extract the dynamic characteristics of structures from vibrational responses.
Chia-Ming Chang, Shieh-Kung Huang
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Performance of Stochastic Subspace Identification Methods in Presence of Forced Oscillations
2019 International Conference on Smart Grid Synchronized Measurements and Analytics (SGSMA), 2019This paper evaluates the performance of data-and covariance- based Stochastic Subspace Identification (SSI) methods for simultaneous estimation of forced oscillations and system modes.
Mohammadreza Maddipour Farrokhifard +2 more
semanticscholar +1 more source
Stochastic subspace identification of linear systems with observation outliers
Proceedings of the 44th IEEE Conference on Decision and Control, 2006This paper considers a problem of identifying stochastic linear systems subject to observation outliers, where the observation noise contains large values with a low probability. A stochastic subspace identification method for the problem is developed based on a block LQ decomposition, introducing a weighting matrix to delete outputs which are ...
H. Tanaka, J. ALMutawa, T. Katayama
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Recursive Subspace Identification Algorithm for Closed-loop Stochastic Systems
IFAC Proceedings Volumes, 2009Abstract A recursive subspace identification algorithm is proposed for the closed-loop stochastic systems in state-space form. Each recursion step consists of two-stages: first, the innovation of the stochastic system is estimated by the extended least squares (ELS) algorithm; then, a basis of the extended observability matrix is estimated by the ...
YuePing Jiang, HaiTao Fang
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