Results 11 to 20 of about 28,524 (229)
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
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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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A robust probabilistic approach to stochastic subspace identification [PDF]
Journal of Sound and Vibration, 2023 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.
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Uncertainty quantification in data-driven stochastic subspace identification [PDF]
Mechanical Systems and Signal Processing, 2021 Abstract A crucial aspect in system identification is the assessment of the accuracy of the identified system matrices. Stochastic Subspace Identification (SSI) is a widely used approach for the identification of linear systems from output-only data because it combines a high computational robustness and efficiency with a high estimation accuracy ...
E. Reynders
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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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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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Automated Modal Analysis Using Stochastic Subspace Identification and Field Monitoring Data
Applied SciencesThe accurate identification of modal parameters is essential for structural health monitoring (SHM), as it provides critical insights into the presence of damage or degradation within the structure.
Shieh-Kung Huang +3 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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Fast stochastic subspace identification of densely instrumented bridges using randomized SVD
Mechanical Systems and Signal ProcessingThe rising number of bridge collapses worldwide has compelled governments to introduce predictive maintenance strategies to extend structural lifespan. In this context, vibration-based Structural Health Monitoring (SHM) techniques utilizing Operational Modal Analysis (OMA) are favored for their non-destructive and global assessment capabilities ...
Elisa Tomassini +2 more
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BuildingsTraditional methods of determining structural dynamic parameters produce destructive and unreliable results. Therefore, in this study, operational modal analysis method, which is a non-destructive and advanced method, was used to determine structural ...
Furkan Günday
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