Uncertainty bounds on modal parameters obtained from stochastic subspace identification
By Edwin Reynders, R. Pintelon, Guido De Roeck. 2008
450 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Mechanics of Materials, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/445a664439da444f6fd7e496ce92f5c5e13e7d45
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
- Michael Döhler
- Laurent Mevel
- Philippe Mellinger
- Geert Lombaert
- K. V. Nimmen
- P. V. Broeck
- Giovanni Fabbrocino
- C. Rainieri
In Mechanics of Materials
- Michael Döhler
- Laurent Mevel
- F. Magalhães
- Giovanni Fabbrocino
- C. Rainieri
- Á. Cunha
- Philippe Mellinger
- Adam Noel
In Statistics and Probability
- Michael Döhler
- Laurent Mevel
- Philippe Mellinger
- Geert Lombaert
- K. V. Nimmen
- P. V. Broeck
- Giovanni Fabbrocino
- C. Rainieri
Citations in the corpus
- Variance estimation of modal parameters from output-only and input/output subspace-based system identification (2016, methodology): “The sensitivity of Γp is obtained by perturbation as ∆Γp = ∆U1S 1/2 1 + U1∆S 1/2 1 and finally, using JΓ,H as detailed in [27, 28], Cov(vec(Γp)) = E [ vec(∆Γp)vec(∆Γp) ] = JΓ,HCov(vec(H))J Γ,H”
- 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].”
- Influence of model order and number of block rows on accuracy and precision of modal parameter estimates in stochastic subspace identification (2014, methodology): “This circumstance limits also the reliability of the procedure, since the relative uncertainty in damping estimates is too high to theoretically ensure accurate evaluations of the uncertainty bounds (Reynders et al., 2008).”
- Structural Health Monitoring Using Wireless Sensor Networks: A Comprehensive Survey (2017, methodology): “this method is that no information is available regarding the accuracy of the estimated modal parameters [38].”
- Vibration-based monitoring of civil infrastructure: challenges and successes (2011, background): “More recent developments in OMA have addressed the statistical properties of the OMA-derived modal parameter (Reynders et al., 2008; Au, 2011) that relate to the reliability of the parameters used for vibrationbased structural diagnosis.”
- Efficient Multi-Order Uncertainty Computation for Stochastic Subspace Identification (2013, methodology): “Note that JA,O = A1 and JC,O = A2 in [11].”
- Identification of isolated structural damage from incomplete spectrum information using l1-norm minimization (2014, background): “The range of values selected for the coefficient of variation of the “identified” frequencies was taken from uncertainty quantification studies on system identification results of real structures [12].”
- Explaining operational modal analysis with data from an arch bridge (2011, methodology): “Moreover, in [39] it is presented an improved version of this method that provides confidence intervals for the obtained estimates of modal parameters.”