Stochastic System Identification for Operational Modal Analysis: A Review
By B. Peeters, Guido De Roeck. 2001
1,039 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Civil and Structural Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/b785ed8855548d13e3a19aea65a6029ba46daedd
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Civil and Structural Engineering
- Michael Döhler
- Laurent Mevel
- F. Vanhollebeke
- Patrick Guillaume
- Herman Van der Auweraer
- Gianni Bartoli
- L. Pallarés
- Michele Betti
In Statistics and Probability
Citations in the corpus
- Operational modal analysis for estimating the dynamic properties of a stadium structure during a football game (2007, methodology): “This section will introduce the new Operational PolyMAX method, and position it with respect to earlier approaches discussed in [6].”
- Full‐scale dynamic response of an RC building under weak seismic motions using earthquake recordings, ambient vibrations and modelling (2007, background): “In the last 20 years, modal analysis techniques in civil engineering applications have been considerably improved thanks to technical (instrumentation, computers) and theoretical developments in the electrical and mechanical engineering fields ([13]; [14]; [15]; [16]).”
- Structural health monitoring (SHM) and Nondestructive testing (NDT) of slender masonry structures: A practical review (2021, background): “SSI in literature is proposed in two variants differing in terms of the data on which they operate [150].”
- Efficient Multi-Order Uncertainty Computation for Stochastic Subspace Identification (2013, methodology): “Usually, an empirical multi-order estimation procedure is used, where the system is identified at multiple (over-specified) model orders in order to distinguish the true structural modes from spurious modes using the so-called stabilization diagrams [3, 9, 10].”