Nondestructive testing and evaluation (NDT&E) are commonly used in the industry for their
ability to identify damage and assess material conditions. Ultrasonic testing (UT) is one of …

Clustering is a popular and useful unsupervised learning method with various algorithms for
applying to many engineering problems. However, some practical and technical issues such …

Owing to recent advancements in sensor technology, data mining, Machine Learning (ML)
and cloud computation, Structural Health Monitoring (SHM) based on a data-driven …

Damage detection techniques using Lamb waves have shown excellent capabilities in the
diagnosis of composite structures. However, structural health monitoring of composite …

While many structural damage detection methods have been developed in recent decades,
few data‐driven methods in unsupervised learning mode have been developed to solve the …

Sudden-onset disasters put forward new requirements for on the state authorities' ability to
analyze public opinion sentiment. However, traditional sentiment analysis methods ignore …

The present work introduces two unsupervised data-driven methodologies for processing
Lamb waves (LWs) to localize structural damage, specifically employing convolutional …

Carbon fiber reinforced plastic (CFRP) has become one of the main structural materials for
aerospace vehicles. However, some internal defects are prone to occur and have potential …

Lamb wave-based technology for damage diagnosis in composite structures has emerged
as a promising tool for structural health monitoring (SHM). However, traditional SHM faces …

Damage classification is an important topic in the development of structural health
monitoring systems. When applied to wind-turbine foundations, it provides information about …