With the booming prosperity of artificial intelligence (AI) technology, it triggers a paradigm
shift in engineering fields including material science. The integration of AI and machine …

This review paper addresses the critical need for structural prognostics and health
management (SPHM) in aircraft maintenance, highlighting its role in identifying potential …

Playing a vital role in keeping gearbox working reliably and safely, smart fault diagnosis
(FD) technology has attracted much attention in recent years. However, in practical industrial …

Machine learning (ML) and deep learning (DL) have significantly transformed various
sectors through automation and extracting insights from vast datasets, while recent …

This article presents a robust autonomous damage diagnosis method using hybrid deep
convolutional networks for the damage diagnosis of laminated composite structures …

This work presents a prototype of an intelligent quality inspection tool for application to fibers
distortion monitoring in the fabric composites forming processes. To this end, a series of …

As the major cause of false alarms in built-in test (BIT) system, intermittent faults of analog
circuits may trigger abnormal equipment shutdown and lead to catastrophic accidents. With …

Carbon fiber reinforced polymer (CFRP) composites have been continuously replacing
conventional metallic materials due to their excellent material properties. The orthotropic …

As laminated composites are applied more commonly, Prognostics and Health Management
(PHM) techniques for the maintenance of composite systems are also attracting attention …

Impact-induced defects in carbon fiber-reinforced polymers (CFRPs)-spanning from
nanometer to macroscopic length scales-can be monitored using an aggregate of X-ray …