Due to the advancements in sensing technologies and computational capabilities, system
health assessment and prognostics have been extensively investigated in the literature …

Contemporary industrial equipment is increasingly developing towards complexity. In order
to ensure the high reliability and sustainability of industrial equipment, more flexible …

The aviation industry is facing an ever-increasing competition to lower its operating cost.
Simultaneously, new factors, such as sustainability and customer experience, become more …

Abstract The Digital Twin (DT) concept has the potential to revolutionize the way systems
and their components are designed, managed, maintained, and operated across a vast …

An innovative prognostic data-driven framework is proposed to deal with the real-time
estimation of the remaining useful life of composite materials under fatigue loading based on …

In the era of the 4th industrial revolution of big data, artificial intelligence (AI) is widely used
in each and every field of composite materials which includes design and analysis, material …

This paper presents a reliability-based prediction methodology to obtain the remaining
useful life of composite materials subjected to fatigue degradation. Degradation phenomena …

We present a generic methodology for developing a Health Indicator out of strain-based
Structural Health Monitoring data suitable for implementation in prognostic tasks. For this …

The present work critically analyzes the probabilistic definition of dynamic state-space
models subject to Bayesian filters used for monitoring and predicting monotonic degradation …

Delamination is a failure mechanism which is intrinsic of laminated fibre-reinforced plastics
and possibly one of the major concerns of laminated composite structures, since, under …