Full‐field optical measurements like digital image correlation or the grid method have
brought a paradigm shift in the experimental mechanics community. While inverse …

This paper presents a review of advances in the field of Sensor Placement Optimisation
(SPO) strategies for Structural Health Monitoring (SHM). This task has received a great deal …

Theoretical and computational issues arising in the selection of the optimal sensor
configuration for parameter estimation in structural dynamics are addressed. The information …

A statistical methodology is presented for optimally locating the sensors in a structure for the
purpose of extracting from the measured data the most information about the parameters of …

This paper provides a methodology for optimally locating sensors in a dynamic system so
that data acquired from those locations will yield the best identification of the parameters to …

This paper describes an approach to fault detection and classification using neural networks
and methods of combinatorial optimisation. Given the existence of an effective fault detection …

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 …

When a modal test is to be performed for purposes of correlation with a finite element model,
one needs to design the test so that the resulting measurements will provide the data …

Proper placement of sensors plays a key role in construction and implementation of an
effective structural health monitoring (SHM) system. This paper outlines a novel …