Advanced data analysis techniques are of paramount importance for the Structural Health
Monitoring (SHM) of civil buildings and infrastructures. In particular, Automated Operational …

Various operational modal analysis (OMA) methods have been developed to identify the
modal parameters of buildings in use. Recently, efforts have been expended to solve the …

Neural network-based strategies require balanced training datasets to avoid creating
unreliable classification and prediction models. While these strategies are commonly used …

Operational modal analysis (OMA) of long-span road bridges from vibration measurements
is a topic of interest due to its potential applications within structural health monitoring …

Modal identification based on ambient vibration has gained increasing importance in
monitoring the operational behavior of dams. This paper develops a robust automated …

This paper presents a comprehensive review of automated modal identification techniques,
focusing on various established and emerging methods, particularly Stochastic Subspace …

This paper presents the development of a new software code for the fully autonomous
management of permanent integrated Structural Health Monitoring (SHM) systems installed …

In operational modal analysis, typically only structural responses are available. Errors and
uncertainties may exist in modal estimates, thereby leading to discrepancies in the results by …

The issue of monitoring the structural condition of bridges is becoming a top priority
worldwide. As is well known, any infrastructure undergoes a progressive deterioration of its …

In stochastic subspace methods, the modal analysis results are highly dependent on the
dimensions of the Hankel matrix. Increasing the dimensions of the Hankel matrix (especially …