On top of machine learning (ML) models, uncertainty quantification (UQ) functions as an
essential layer of safety assurance that could lead to more principled decision making by …

Blades are critical components in wind turbines (WTs) for power generation, and condition
monitoring (CM) of WT blades is a crucial and challenging issue under operating conditions …

Machine learning methods used in Structural Health Monitoring applications still have
generalization difficulties among structures, even when structures are nominally and …

Sensor location optimization plays a key role in the application and development of
structural integrity monitoring methodologies, especially in large mechanical structures …

Renewable energy has increased in recent years with a consequential increase in
equipment maintenance. Maintenance costs can be reduced by structural health monitoring …

In the past two decades, the aerospace industry has massively shifted from aluminum-made
components to composite materials such as carbon fiber reinforced polymers (CFRP) …

To ensure the quality, safety, and long-term durability of fiber-reinforced composite
components, it is necessary to explore approaches for monitoring and detecting defects or …

In order to prevent the function failure of the structure due to resonance in the working
process. The vibration responses and resonance reliability of non-uniform beam (NUB) with …

In this article, the Polynomial Chaos–Kriging (PCK) metamodel is proposed to surrogate the
physical model for model-assisted probability of detection (MAPoD) analysis in eddy current …

In order to apply wireless sensor networks to mechanical vibration monitoring, the author
proposes a wireless network topology with multiple data collection points for mechanical …