This review covers the new developments in machine learning (ML) that are impacting the
multi-disciplinary area of aerospace engineering, including fundamental fluid dynamics …

While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share
the objective of damage detection and identification in structures, they are distinct in many …

The use of machine learning in structural health monitoring is becoming more common, as
many of the inherent tasks (such as regression and classification) in developing condition …

In the field of structural health monitoring (SHM), the acquisition of acoustic emissions to
localise damage sources has emerged as a popular approach. Despite recent advances …

Despite the growing availability of sensing and data in general, we remain unable to fully
characterize many in-service engineering systems and structures from a purely data-driven …

Abstract Ultrasonic Guided Waves (UGW) offer the possibility of inspecting a strip across a
structure rather than just the point under a traditional bulk wave transducer. This can …

Fatigue is a leading cause of structural failure; however, monitoring and prediction of
damage accumulation remains an open problem, particularly in complex environments …

Mechanical and aeronautical structures could experience unexpected loads during
operations, potentially reducing their operability. A load monitoring system enables one to …

Within the offshore industry Structural Health Monitoring remains a growing area of interest.
The oil and gas sectors are faced with ageing infrastructure and are driven by the desire for …

Aeronautical structures are increasingly aging, and the occurrence of unexpected loads
could reduce their operability. A health and usage monitoring system would enable the …