José Sobral

TL;DR: The presented research demonstrates that the intelligent-based approach has become a promising solution for condition recognition, and an integrated data platform for offshore wind farms is significant to optimize the maintenance activities.

TL;DR: A safety assessment process modelling of a UAV by Petri Nets that can be accepted by certifying bodies, considering the recommendations of STANAG 4671 UAV Airworthiness Requirements Specification (USAR) for analysis of fault conditions that lead to the most feared events is presented.

TL;DR: A methodology to evaluate the adequacy of a safety barrier is proposed that links the safety integrity level of an assessed safety barrier to the probability of occurrence of the hazardous event that it should protect.

TL;DR: In this paper, the authors discuss the importance of condition monitoring in predicting time to failure and illustrate it with an example where the evolution of a degradation parameter on time for several similar assets is observed and, based on that, the time-to failure is determined, allowing to establish the right moment for maintenance for these type of assets operating in these conditions.

TL;DR: In this paper, the authors developed a methodology to set up an initial maintenance program for unmanned aerial vehicles (UAVs) following the well-known Steering Maintenance Group logic method (MSG-3) and taking into account safety concerns based on items probabilities of failure.