Application of the subspace-based methods in health monitoring of civil structures: A systematic review and meta-analysis

H Shokravi, H Shokravi, N Bakhary, M Heidarrezaei… - Applied Sciences, 2020 - mdpi.com
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 …

Uncertainty quantification in data-driven stochastic subspace identification

EPB Reynders - Mechanical Systems and Signal Processing, 2021 - Elsevier
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 …

Uncertainty quantification of the modal assurance criterion in operational modal analysis

S Greś, M Döhler, L Mevel - Mechanical Systems and Signal Processing, 2021 - Elsevier
Abstract The Modal Assurance Criterion (MAC) is a modal indicator designed to decide
whether the mode shapes used in its computation are corresponding to the same mode …

Sensor placement with optimal damage detectability for statistical damage detection

A Mendler, M Döhler, CE Ventura - Mechanical Systems and Signal …, 2022 - Elsevier
Damage diagnosis based on global structural vibrations critically depends on the sensor
layout, in particular when a small number of sensors is used for large structures under …

Evaluation of damping estimates by automated operational modal analysis for offshore wind turbine tower vibrations

A Bajrić, J Høgsberg, F Rüdinger - Renewable Energy, 2018 - Elsevier
Reliable predictions of the lifetime of offshore wind turbine structures are influenced by the
limited knowledge concerning the inherent level of damping during downtime. Error …

Fuzzy-driven strategy for fully automated modal analysis: Application to the SMART2013 shaking-table test campaign

PÉ Charbonnel - Mechanical Systems and Signal Processing, 2021 - Elsevier
A crucial step when identifying the modal signature of systems using growing order
parametric methods consists in discriminating spurious modes from physical modes. In this …

[HTML][HTML] Bayesian operational modal analysis of Jiangyin Yangtze River bridge

JMW Brownjohn, SK Au, Y Zhu, Z Sun, B Li… - … Systems and Signal …, 2018 - Elsevier
Vibration testing of long span bridges is becoming a commissioning requirement, yet such
exercises represent the extreme of experimental capability, with challenges for …

[HTML][HTML] Review and comparison of methods and benchmarks for automatic modal identification based on stabilization diagram

M He, P Liang, J Liu, Z Liang - Journal of Traffic and Transportation …, 2024 - Elsevier
Automatic modal identification via automatically interpreting the stabilization diagram
provides key technique in bridge structural health monitoring. This paper reviews the …

[HTML][HTML] Subspace-based noise covariance estimation for Kalman filter in virtual sensing applications

S Greś, M Döhler, VK Dertimanis, EN Chatzi - Mechanical Systems and …, 2025 - Elsevier
The accuracy of the Kalman filter in state estimation depends on the knowledge of the
process and measurement noise covariances. These are usually treated as tuning …

Kalman filter-based subspace identification for operational modal analysis under unmeasured periodic excitation

S Greś, M Döhler, P Andersen, L Mevel - Mechanical Systems and Signal …, 2021 - Elsevier
The modes of linear time invariant mechanical systems can be estimated from output-only
vibration measurements under ambient excitation conditions with subspace-based system …