Results 31 to 40 of about 2,193 (205)

Output-only modal identification of tensegrity structures

Engineering 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, Maher Abdelghani, Nabil ben Kahla   +2 more
doaj   +1 more source

Stochastic Subspace Identification-Based Automated Operational Modal Analysis Considering Modal Uncertainty

Applied Sciences, 2023
An automated operational modal analysis (AOMA) method that considers the uncertainty in modal parameters is presented and data acquired from actual bridges are used to validate it.
Keunhee Cho, Jeong-Rae Cho
doaj   +1 more source

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

Modeling, 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, David Di Ruscio, Roar Nilsen   +2 more
doaj   +1 more source

Efficient multi-order uncertainty computation for stochastic subspace identification [PDF]

Mechanical Systems and Signal Processing, 2013
Stochastic Subspace Identification methods have been extensively used for the modal analysis of mechanical, civil or aeronautical structures for the last ten years. So-called stabilization diagrams are used, where modal parameters are estimated at successive model orders, leading to a graphical procedure where the physical modes of the system are ...
Döhler, Michael, Mevel, Laurent
openaire   +1 more source

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

Shock 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, Fei Tong, Jie Yang, Dongjian Zheng   +3 more
doaj   +1 more source

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

Applied 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, Siqi Bu, Jiong-Ran Wen, Cheng-Wei Fei   +3 more
doaj   +1 more source

SUBSPACE IDENTIFICATION OF CLOSED LOOP SYSTEMS BY STOCHASTIC REALIZATION

IFAC 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

SSI improved algorithm based on zero phase filtering technology for structural parameter identification in civil engineering [PDF]

Archives of Civil Engineering
Early damage detection and reinforcement of civil engineering structures are crucial. To ensure timely maintenance in the later stage, the civil structure is subjected to modal parameter identification.
Kai Yang, Zhenwu Wang
doaj   +1 more source

Automatic modal parameters identification and uncertainty quantification based on block-bootstrap and multi-stage clustering under ambient excitation

Journal of Low Frequency Noise, Vibration and Active Control, 2022
This study proposes an algorithm for autonomous modal estimation to automatically eliminate false modes and quantify the uncertainty caused by the clustering algorithm and ambient factors. This algorithm belongs to the stochastic subspace identification (
Yongpeng Luo, Yuangui Liu, Jianping Han, Jingliang Liu   +3 more
doaj   +1 more source

Automated Harmonic Signal Removal Technique Using Stochastic Subspace-Based Image Feature Extraction

Journal of Imaging, 2020
This paper presents automated harmonic removal as a desirable solution to effectively identify and discard the harmonic influence over the output signal by neglecting any user-defined parameter at start-up and automatically reconstruct back to become a ...
Muhammad Danial Bin Abu Hasan, Zair Asrar Bin Ahmad, Mohd Salman Leong, Lim Meng Hee   +3 more
doaj   +1 more source