Thin-walled structures, like aircraft skins and ship shells, are often several meters in size but
only a few millimeters thick. By utilizing the laser ultrasonic Lamb wave detection method …

In guided wave (GW)-based structural health monitoring (SHM), ultrasonic elastic waves are
used to detect damages in structures by comparing the acquired signals with those acquired …

The implementation of machine learning methods for structural health monitoring
applications has proven to be very effective, especially in detecting damage and …

From aeroplane wings to overhead power lines, through giant blades of wind turbines, a
build up of ice can cause problems ranging from impaired performance all the way to …

Despite its popularity in literature, there are few examples of machine learning (ML) being
used for industrial nondestructive evaluation (NDE) applications. A significant barrier is the …

Rayleigh waves are successfully employed for the characterization of surface defects
through the utilization of both time and frequency domain analysis. However, a significant …

Machine learning techniques such as deep learning have already been successfully applied
in Structural Health Monitoring (SHM) for damage localization using Ultrasonic Guided …

In this work, we propose a data-driven method to perform detection and quantification of
damage in guided wave data from Structural Health Monitoring. The data is from a full-scale …

This study extensively compares conventional machine learning methods and deep learning
for condition monitoring tasks using an AutoML toolbox. The experiments reveal consistent …

The increased focus on predictive maintenance of safety-critical engineering structures
requires an onboard structural health monitoring system, which is reliable and robust to …