This paper explores the viability of using learning-based state-of-the-art video motion
magnification to extract vibrational signatures for damage detection in structures. Unlike …

An inverse input–output method is proposed for long‐term condition monitoring of civil
infrastructures through monitoring the prediction error of air temperature recorded at the site …

A significant problem associated with the implementation of Vibration-Based Structural
Health Monitoring (VSHM) systems originates from the detrimental effects caused by …

A significant issue that has plagued data-driven Vibration-based Structural Health
Monitoring (VSHM) is the mitigation of Environmental and Operational Variations (EOVs) …

This paper summarizes the lessons learned after several decades of exploring and applying
Structural Health Monitoring (SHM) in operating bridge structures. The challenges in real …

The study aims at damage detection on the blade of an operating Vestas V27 wind turbine
via a single vibration response sensor under varying Environmental and Operating …

Subspace-based fault detection methods are widely used for linear time-invariant systems.
For linear time-periodic systems, those methods cannot be theoretically used, due to the …

Data-driven models have been recognized as powerful tools to support Structural Health
Monitoring (SHM). This paper contributes to the literature by exploring two data-driven …

Today, the green transition is being pursued more than ever, leading to a significant
increase in the installation of wind turbines and wind farms. Maintaining and servicing the …

In this thesis, the objective is to monitor the wind turbine without stopping or interfering with
its operation. So, the monitoring of operating wind turbines with Operational Modal Analysis …