Reference-based combined deterministic–stochastic subspace identification for experimental and operational modal analysis
By Edwin Reynders, Guido De Roeck. 2006
417 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/f1b85a913f8152aa791aa0fd359583b082fa510b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Geert Lombaert
- Eleni N. Chatzi
- Costas Papadimitriou
- Saeed Eftekhar Azam
- K. V. Nimmen
- P. V. Broeck
- Edwin Reynders
- E. Lourens
In Statistics and Probability
- Geert Lombaert
- Eleni N. Chatzi
- Costas Papadimitriou
- K. V. Nimmen
- Saeed Eftekhar Azam
- P. V. Broeck
- Guido De Roeck
- E. Lourens
Citations in the corpus
- Vibration serviceability of footbridges: Evaluation of the current codes of practice (2014, methodology): “The output-only data have been processed using the following OMA algorithm: reference-based data-driven stochastic subspace identification (SSI-data/ref) [29, 30, 31].”
- The effect of prediction error correlation on optimal sensor placement in structural dynamics (2012, methodology): “The bridge has been used as an in situ test case for recently developed Operational Modal Analysis (OMA) [35] and Operational Modal Analysis with eXogenous inputs (OMAX) [36] techniques.”
- Variance estimation of modal parameters from output-only and input/output subspace-based system identification (2016, neutral): “Notice that, while the computation of the modal mass is possible with the input/output algorithms [31], we focus on the covariance computation for frequencies, damping ratios and mode shapes.”
- A dual Kalman filter approach for state estimation via output-only acceleration measurements (2015, methodology): “Reynders and De Roeck used the linear Kalman filter as part of the subspace identification technique for modal analysis [11] to directly estimate states from measured data without knowledge of the system model.”
- Design of sensor networks for instantaneous inversion of modally reduced order models in structural dynamics (2015, methodology): “The model has been calibrated using a set of experimentally identified modal characteristics, which are obtained through a combined output-only [28] and inputoutput system identification procedure [23].”