Transportation electrification is a promising solution to meet the ever-rising energy demand
and realize sustainable development. Lithium-ion batteries, being the most predominant …

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 …

Condition monitoring plays a vital role in ensuring the reliability and optimal performance of
various engineering systems. Traditional methods for condition monitoring rely on physics …

Accurate remaining useful life (RUL) prediction has gained increasing attention in modern
maintenance management. Considering the data privacy requirements of distributed multi …

Remaining useful life (RUL) prediction, known as 'prognostics', has long been recognized as
one of the key technologies in prognostics and health management (PHM) to maintain the …

Remaining useful life (RUL) prediction as the key technique of prognostics and health
management (PHM) has been extensively investigated. The application of data-driven …

Macroseismic intensity measures are fundamental quantitative indicators for evaluating the
vulnerability and resilience of regional building clusters. The vulnerability model of building …

Li-ion batteries are the main power source used in electric propulsion applications (eg,
electric cars, unmanned aerial vehicles, and advanced air mobility aircraft). Analytics-based …

Soil spatial variability at different supports is vital in the seismic performance assessment of
large-span structural systems, including sea-crossing cable-stayed (SCCS) bridges. This …

This paper proposes an intelligent digital twin framework for corrosion fatigue life prediction
and calibration of suspender wires integrated with mechanism-driven, sensor-driven, and …