With the rapid progress in the deep learning technology, it is being used for vibration-based
structural health monitoring. When the vibration is used for extracting features for system …

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 …

Within machine learning, several structural damage detection and localization methods
based on clustering and novelty detection methods have been proposed in the recent years …

Reliability quantification is a critical and necessary process for the evaluation and
assessment of any inspection technology that may be classified either as a nondestructive …

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

For the reliable damage monitoring of aircraft structures under Time-Varying Conditions
(TVCs), Gaussian Mixture Model (GMM)-based damage monitoring methods combined with …

Structural health monitoring (SHM) is a very important area in a wide spectrum of fields and
engineering applications. With an SHM system, it is possible to reduce the number of non …

Data-driven analysis for damage assessment has a large potential in structural health
monitoring (SHM) systems, where sensors are permanently attached to the structure …

Significant progress has recently been achieved in structural health monitoring, maturing the
technology through quantification, validation, and verification to promote implementation …

Major progress has been made recently in structural health monitoring maturing the
technology through quantification, validation and verification to promote implementation and …