The use of a modern technological system requires a good engineering approach,
optimized operations, and proper maintenance in order to keep the system in an optimal …

Maintenance is playing an important role in integrity management of marine assets such as
ship structures, offshore renewable energy platforms and subsea oil and gas facilities. The …

Abstract Remaining Useful Life (RUL) prediction is a key task of Condition-based
Maintenance (CBM). The massive data collected from multiple sensors enables monitoring …

In this research, an algorithm is presented for predicting the remaining useful life (RUL) of
aircraft engines from a set of predictor variables measured by several sensors located in the …

Abstract Industrial Product-Service Systems (IPS²) have been increasingly researched and
practiced in a variety of fields and sectors. Nevertheless, such solutions are not as …

Data-driven techniques, especially on artificial intelligence (AI) such as deep learning (DL)
techniques, have attracted more and more attention in the manufacturing sector because of …

In the last few years, many works have addressed Predictive Maintenance (PdM) by the use
of Machine Learning (ML) and Deep Learning (DL) solutions, especially the latter. The …

Predictive maintenance of production lines is important to early detect possible defects and
thus identify and apply the required maintenance activities to avoid possible breakdowns …

Remaining useful life (RUL) prediction is essential in prognostics and health management
(PHM) applications, where data-driven approaches employ the tendency of the degradation …

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