Unlocking the potential of offshore renewables for green hydrogen (GH2) production can be a game-changer, empowering economies with their visionary clean energy policies, amplifying security, and promoting economic growth. However, novelty entails uncertainty risk, necessitating robust framework facility deployment infrastructure planning. To optimize GH2 placement, this work proposes novel GIS-based multi-criteria decision-making (MCDM) framework. Encompassing thirty-two...

Maritime Autonomous Surface Ships have received a significant amount of attention in recent projects. They promise reduction marine accidents and mitigation human errors. Most the ongoing research effort is directed toward autonomous navigation cybersecurity. However, importance machinery plant engine room that can operate reliably without attendance hardly investigated. To prevent failures such systems extend interval between required interventions, it essential to improve their...

Maritime characteristics make the progress of automatic operations in ships slow, especially compared to other means transportation. This caused a great progressive deal attention for Autonomy Degree (AD) by research centers where aims are create well-structured roadmap through phased functional maturation approach autonomous operation. Application Autonomous Surface Ship (MASS) requires industries and authorities think about trustworthiness operation regardless crew availability on board...

Over the last decades, safety requirements have become of primary concern. In context safety, several strategies could be pursued in many engineering fields. Moreover, techniques been proposed to deal with risk, and reliability matters, such as Machine Learning (ML) Deep (DL). ML DL are characterised by a high variety algorithms, adaptable for different purposes. This generated wide fragmented literature on purposes, moreover, review bibliometric studies past years mainly focus single...

Analyzing the reliability of autonomous ships has recently attracted attention mainly due to epistemic uncertainty (lack knowledge) integrated with automatic operations in maritime sector. The advent new random failures unrecognized failure patterns ship requires a comprehensive assessment specifically aiming at estimating time which can be trusted left unattended. While concept is touched upon well through literature, operational trustworthiness needs more elaboration established for system...

Over the next few years, digitalization and automation are expected to be key drivers for maritime transport innovation transportation innovation. This revolutionary shift in shipping industry will heavily impact reliability of machinery which is intended operated remotely with minimum support from humans. Despite a large amount research into autonomous navigation control systems transportation, evaluation unattended engine rooms has received very little attention. For vessels effective...

This paper presents a novel methodology for site selection of Offshore Renewable Energy (ORE) systems, addressing the growing global energy demand and need sustainable solutions to climate change. Focusing on wave energy, relatively untapped renewable source, this research focuses optimizing Wave Converter (WEC) deployment amidst uncertainties offshore environment. The study involves comprehensive evaluation potential sites, considering key factors like power generation capacity, mooring...

Due to higher reliability and safety requirements, the importance of condition monitoring failure diagnosis has progressively cleared up. In this context, being able properly deal with noise data reduction is fundamental for improving assuring safe operations. These tasks are particularly difficult in presence many non-stationary non-linear signals. Accordingly, paper proposes a methodology that integrates Empirical Mode Decomposition (EMD) Neighborhood Component Analysis (NCA) removal...

Installing large floating objects during offshore operations is a challenging and failure-prone task, especially when passing through the splash zone due to extreme lifting loads on wire payload. For safe operation, it essential predict peak installation system create an early decision-making scenario for vessel before starting real operation site. To this end, that can lead unsatisfactory performance of must be evaluated accurately; however, involves great deal uncertainty physics...

Risk assessment can be classified into two broad categories: traditional and modern. This paper is aimed at contrasting the functional resonance analysis method (FRAM) as a modern approach with fault tree (FTA) method, regarding assessing risks of complex system. Applied methodology by which risk carried out, presented in each approach. Also, FRAM network executed regard to nonlinear interaction human organizational levels assess safety technological systems. The implemented for lifting...