Results 31 to 40 of about 28,524 (229)

Fast Multi-Order Stochastic Subspace Identification⋆

open access: yesIFAC 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
openaire   +1 more source

Failure Identification of Dump Truck Suspension Based on an Average Correlation Stochastic Subspace Identification Algorithm

open access: yesApplied Sciences, 2018
This paper proposes a fault identification method based on an improved stochastic subspace modal identification algorithm to achieve high-performance fault identification of dump truck suspension.
Bingwen Liu   +4 more
doaj   +1 more source

Application of Improved Combined Deterministic-Stochastic Subspace Algorithm in Bridge Modal Parameter Identification

open access: yesShock and Vibration, 2021
Modal parameter identification is considered to be one of the most important tasks in structural health monitoring because it provides a reliable reference for structural vibration control, damage severity, and operational state.
Peng Wen   +3 more
doaj   +1 more source

Stochastic Subspace Method for Experimental Modal Analysis

open access: yesMATEC Web of Conferences, 2016
The formula of stochastic subspace identification method is deduced in details and the program is written out. The two methods are verified by a vibration test on a 5-floor rigid frame model.
Liu Dazhi   +5 more
doaj   +1 more source

Output-only modal identification of tensegrity structures

open access: yesEngineering Structures and Technologies, 2016
Tensegrity systems are a special class of spatial reticulated structures that are composed of struts in compression and cables in tension. In this paper, the performance of stochastic subspace algorithms for modal identification of complex tensegrity ...
Miniar Attig   +2 more
doaj   +1 more source

Model-free optimal anti-slug control of a well-pipeline-riser in the K-Spice/LedaFlow simulator [PDF]

open access: yesModeling, Identification and Control, 2015
Simplified 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. These models are developed from a subspace algorithm, i.e.
Christer Dalen   +2 more
doaj   +1 more source

Application of short-time stochastic subspace identification to estimate bridge frequencies from a traversing vehicle

open access: yes, 2021
This study establishes a short-time stochastic subspace identification (ST-SSI) framework to estimate bridge frequencies by processing the dynamic response of a traversing vehicle.
N. Jin   +4 more
semanticscholar   +1 more source

SUBSPACE IDENTIFICATION OF CLOSED LOOP SYSTEMS BY STOCHASTIC REALIZATION

open access: yesIFAC Proceedings Volumes, 2002
Abstract We develop a closed loop subspace identification method based on stochastic realization theory. Using the preliminary orthogonal decomposition of (Picci and Katayama, 1996b) we show that, under the assumption that the exogenous input is feedback-free and persistently exciting (PE), the identification of closed loop systems is divided into ...
KATAYAMA T., KAWAUCHI H., PICCI, GIORGIO
openaire   +1 more source

Online Modal Identification of Concrete Dams Using the Subspace Tracking-Based Method

open access: yesShock and Vibration, 2019
To investigate the time-varying dynamic characteristics of concrete dams under the excitation of large earthquakes for online structural health monitoring and damage evaluation, an online modal identification procedure based on strong-motion records is ...
Lin Cheng   +3 more
doaj   +1 more source

Synthetical Modal Parameters Identification Method of Damped Oscillation Signals in Power System

open access: yesApplied Sciences, 2022
It is vital to improve the stability of the power system by accurately identifying the modal parameters of damped low-frequency oscillations (DLFO) and controlling the oscillation in time.
Huan Li   +3 more
doaj   +1 more source

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