Results 31 to 40 of about 3,141,474 (179)

Ambient vibration testing of concrete dams [PDF]

, 2011
In this thesis, seven techniques namely; rational fractional polynomial, complex exponential, frequency domain decomposition (FDD) based techniques which include; frequency domain decomposition (FDD), enhanced frequency domain decomposition (EFDD), curve
Bukenya, Patrick
core   +1 more source

Decentralized System Identification Using Stochastic Subspace Identification for Wireless Sensor Networks

Sensors, 2015
Wireless sensor networks (WSNs) facilitate a new paradigm to structural identification and monitoring for civil infrastructure. Conventional structural monitoring systems based on wired sensors and centralized data acquisition systems are costly for ...
Soojin Cho, Jong-Woong Park, Sung-Han Sim   +2 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

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

A robust probabilistic approach to stochastic subspace identification

Journal of Sound and Vibration
Modal parameter estimation of operational structures is often a challenging task when confronted with unwanted distortions (outliers) in field measurements. Atypical observations present a problem to operational modal analysis (OMA) algorithms, such as stochastic subspace identification (SSI), severely biasing parameter estimates and resulting in ...
O’Connell, B.J., Rogers, T.J.
openaire   +5 more sources

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
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

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
doaj   +1 more source

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
openaire   +1 more source