The deployment cost of the structural health monitoring (SHM) system is the major argument
against the more widespread use of the structural health monitoring techniques …

In recent decades, structural health monitoring (SHM) has gained increased importance for
ensuring the sustainability and serviceability of large and complex structures. To design an …

This study explores an optimal sensor placement approach for reconstructing full-field
dynamic responses using a set of basic vectors obtained from high-fidelity data. The novelty …

Wind energy is one of the most important renewable energy sources and many countries are
predicted to increase wind energy portion of their whole national energy supply to about …

Careful selection and placement of sensors are the critical issue in the construction and
implementation of an effective structural health monitoring system. A hybrid method termed …

The problem of estimating the optimal sensor locations for parameter estimation in structural
dynamics is re-visited. The effect of spatially correlated prediction errors on the optimal …

Optimal sensor placement (OSP) is essential for effective structural health monitoring (SHM).
More recently, deep learning algorithms have shown great potential in sensor‐based SHM …

The performance of a monitoring system for civil buildings and infrastructures or mechanical
systems depends mainly on the position of the deployed sensors. At the current state, this …

Optimal sensor placement (OSP) technique plays a key role in the structural health
monitoring (SHM) of large-scale civil infrastructures. This paper outlines an overview of …

A series of work for distributed dynamic load identification is investigated in this paper
considering unknown-but-bounded uncertainties in the aircraft structure. To facilitate the …