Results 1 to 10 of about 2,193 (205)
Model-Free Predictive Anti-Slug Control of a Well-Pipeline-Riser [PDF]
Modeling, Identification and Control, 2016 Simplified linearized discrete time dynamic state space models are developed for a 3-phase well-pipeline-riser and tested together with a high fidelity dynamic model built in K-Spice and LedaFlow. In addition the Meglio pipeline-riser model is used as an
Christer Dalen, David Di Ruscio
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Experimental Modal Analysis of Angle Signals Based on the Stochastic Subspace Identification Method
NUST Journal of Engineering Sciences, 2022 This paper aims to verify the extraction of modal parameters from angle signals using the stochastic subspace identification (SSI) method. The use of angle signal-based mode shapes can reduce the loss of node information and enhance the robustness in ...
In-Ho Kim
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Estimation of hysteretic damping of structures by stochastic subspace identification [PDF]
Mechanical Systems and Signal Processing, 2018 Abstract Output-only system identification techniques can estimate modal parameters of structures represented by linear time-invariant systems. However, the extension of the techniques to structures exhibiting non-linear behavior has not received much attention.
Bajric, Anela +1 more
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Journal of Modern Power Systems and Clean Energy, 2017 In this paper, a data-driven stochastic subspace identification (SSI-DATA) technique is proposed as an advanced stochastic system identification (SSI) to extract the inter-area oscillation modes of a power system from wide-area measurements. For accurate
Deyou YANG, Guowei CAI, Kevin CHAN
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Subspace System Identification of the Kalman Filter [PDF]
Modeling, Identification and Control, 2003 Some proofs concerning a subspace identification algorithm are presented. It is proved that the Kalman filter gain and the noise innovations process can be identified directly from known input and output data without explicitly solving the Riccati ...
David Di Ruscio
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Fast Multi-Order Stochastic Subspace Identification⋆
IFAC Proceedings Volumes, 2011 Abstract Stochastic subspace identification methods are an efficient tool for system identification of mechanical systems in Operational Modal Analysis (OMA), where modal parameters are estimated from measured vibrational data of a structure. System identification is usually done for many successive model orders, as the true system order is unknown ...
Michael Duhler, Laurent Mevel
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Applied SciencesCommonly used methods for identifying modal parameters under environmental excitations assume that the unknown environmental input is a stationary white noise sequence.
Jinzhi Wu +6 more
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Applied Sciences, 2021 The present paper is a study of output-only modal estimation based on the stochastic subspace identification technique (SSI) to avoid the restrictions of well-controlled laboratory conditions when performing experimental modal analysis and aims to ...
Chang-Sheng Lin, Yi-Xiu Wu
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Data Inspecting and Denoising Method for Data-Driven Stochastic Subspace Identification
Shock and Vibration, 2018 Data-driven stochastic subspace identification (DATA-SSI) is frequently applied to bridge modal parameter identification because of its high stability and accuracy.
Xiaohang Zhou +3 more
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BuildingsContinuous and autonomous system identification is an alternative to regular inspection during operations, which is essential for structural integrity management (SIM) as well as structural health monitoring (SHM).
Shieh-Kung Huang +3 more
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