Results 21 to 30 of about 2,193 (205)

Modal Parameter Identification of Recursive Stochastic Subspace Method

open access: yesSymmetry, 2023
In bridge health monitoring, in order to closely monitor the structural state changes of the bridge under heavy traffic load and other harsh environments, the monitoring system is required to give the change process of structural modal parameters. Due to the symmetric variables of bridge monitoring during operation, the evaluation needs to be completed
Haishan Wu, Yifeng Huang
openaire   +1 more source

Modal Parameter Identification of Structures Using Reconstructed Displacements and Stochastic Subspace Identification

open access: yesApplied Sciences, 2021
A method of modal parameter identification of structures using reconstructed displacements was proposed in the present research. The proposed method was developed based on the stochastic subspace identification (SSI) approach and used reconstructed ...
Xiangying Guo   +3 more
doaj   +1 more source

Continuous-Time Subspace Identification with Prior Information Using Generalized Orthonormal Basis Functions

open access: yesMathematics, 2023
This paper presents a continuous-time subspace identification method utilizing prior information and generalized orthonormal basis functions. A generalized orthonormal basis is constructed by a rational inner function, and the transformed noises have ...
Miao Yu   +3 more
doaj   +1 more source

MEMD-Based Hybrid Modal Identification for High-Rise Structures with Multi-Sensor Vibration Measurements

open access: yesApplied Sciences, 2022
Although widely used in various fields due to its powerful capability of signal processing, empirical mode decomposition has to decompose signals separately, which limits its application for multivariate data such as the structural monitoring data ...
Mingfeng Huang   +3 more
doaj   +1 more source

Elevator dynamic monitoring and early warning system based on machine learning algorithm

open access: yesIET Networks, EarlyView., 2022
In order to monitor and warn the elevator dynamics, in this work, the machine learning algorithm is introduced, and the particle swarm algorithm is used to perfect the model. The model is optimised, and the experimental comparison shows that the optimisation of the model parameters can further improve the accuracy of the elevator load prediction. Then,
Shuai Zhang, Qiangguo Yin, Jinlong Wang
wiley   +1 more source

A Comparative Study of the Data-Driven Stochastic Subspace Methods for Health Monitoring of Structures: A Bridge Case Study

open access: yesApplied Sciences, 2020
Subspace system identification is a class of methods to estimate state-space model based on low rank characteristic of a system. State-space-based subspace system identification is the dominant subspace method for system identification in health ...
Hoofar Shokravi   +4 more
doaj   +1 more source

Application of the Subspace-Based Methods in Health Monitoring of Civil Structures: A Systematic Review and Meta-Analysis

open access: yesApplied Sciences, 2020
A large number of research studies in structural health monitoring (SHM) have presented, extended, and used subspace system identification. However, there is a lack of research on systematic literature reviews and surveys of studies in this field ...
Hoofar Shokravi   +5 more
doaj   +1 more source

Stochastic Analysis of the LMS Algorithm for System Identification With Subspace Inputs [PDF]

open access: yesIEEE Transactions on Signal Processing, 2008
This paper studies the behavior of the low-rank least mean squares (LMS) adaptive algorithm for the general case in which the input transformation may not capture the exact input subspace. It is shown that the Independence Theory and the independent additive noise model are not applicable to this case.
Neil J. Bershad   +2 more
openaire   +3 more sources

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

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