Application of the subspace-based methods in health monitoring of civil structures: A systematic review and meta-analysis
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 …
extended, and used subspace system identification. However, there is a lack of research on …
Fault detection, isolation and quantification from Gaussian residuals with application to structural damage diagnosis
Despite the general acknowledgment in the Fault Detection and Isolation (FDI) literature that
FDI are typically accomplished in two steps, namely residual generation and residual …
FDI are typically accomplished in two steps, namely residual generation and residual …
Structural health monitoring with statistical methods during progressive damage test of S101 Bridge
For the last decades vibration based damage detection of engineering structures has
become an important issue for maintenance operations on transport infrastructure. Research …
become an important issue for maintenance operations on transport infrastructure. Research …
Efficient multi-order uncertainty computation for stochastic subspace identification
Stochastic Subspace Identification methods have been extensively used for the modal
analysis of mechanical, civil or aeronautical structures for the last ten years. So-called …
analysis of mechanical, civil or aeronautical structures for the last ten years. So-called …
Kalman filter-based subspace identification for operational modal analysis under unmeasured periodic excitation
The modes of linear time invariant mechanical systems can be estimated from output-only
vibration measurements under ambient excitation conditions with subspace-based system …
vibration measurements under ambient excitation conditions with subspace-based system …
Uncertainty quantification of modal parameter estimates obtained from subspace identification: An experimental validation on a laboratory test of a large-scale wind …
The uncertainty afflicting modal parameter estimates stems from eg, the finite data length,
unknown, or partly measured inputs and the choice of the identification algorithm …
unknown, or partly measured inputs and the choice of the identification algorithm …
Variance estimation of modal parameters from output-only and input/output subspace-based system identification
An important step in the operational modal analysis of a structure is to infer on its dynamic
behavior through its modal parameters. They can be estimated by various modal …
behavior through its modal parameters. They can be estimated by various modal …
Subspace-based modal identification and uncertainty quantification from video image flows
B Merainani, B Xiong, V Baltazart, M Döhler… - Journal of Sound and …, 2024 - Elsevier
Vibration measurements for structural health monitoring (SHM) by operational modal
analysis (OMA) are classically obtained from sensors that are embedded in or physically …
analysis (OMA) are classically obtained from sensors that are embedded in or physically …
Bayesian operational modal analysis of structures with tuned mass damper
Tuned mass damper (TMD) is a common strategy to reduce structural vibration in a passive
manner without the need for active power. The basic parameters of a TMD include its mass …
manner without the need for active power. The basic parameters of a TMD include its mass …
Interpretation of stabilization diagrams using density-based clustering algorithm
RL Boroschek, JA Bilbao - Engineering Structures, 2019 - Elsevier
The estimation of modal parameters is a critical requirement in structural health monitoring,
damage detection, design validation, among other topics. The most prevalent methodology …
damage detection, design validation, among other topics. The most prevalent methodology …