Oil paintings represent significant cultural heritage, as they embody human creativity and
historical narratives. The preservation of these invaluable artifacts requires effective …

Timely detection and accurate diagnosis of faults in technological processes can
significantly reduce production costs in manufacturing. Modern industrial equipment …

Variable thickness structures are prevalent in aircraft, ships, and other machines,
necessitating numerous sensors for health monitoring to reduce safety hazards. This paper …

Intelligent fault diagnosis methods have made significant progress during the past decade,
often following a centralized training paradigm that gathers data from multiple industrial …

This paper presents a noise-robust damage detection framework for composite structures
via a commonly used vibration-based non-destructive testing (NDT) method. Recently, deep …

This study focuses on the determination of the fracture mode in composite laminates using
deep learning. With the increase in the use of laminated composites in numerous …

This study addresses the challenges of data scarcity and class imbalance in structural health
monitoring (SHM) of composite structures. Data-driven SHM techniques that benefit from …

Wind Turbines are the most crucial devices in wind energy conversion systems to increase
energy generation efficiency from wind sources. Blade failure in wind turbines is due to the …

Delamination represents one of the most significant and dangerous damages in composite
plates. Recently, many papers have presented the capability of structural health monitoring …

Artificial intelligence (AI) techniques are increasingly used for structural health monitoring
(SHM) of polymer composite structures. However, to be confident in the trustworthiness of AI …