Maintenance

In a significant stride towards greener maritime operations, researchers have developed a novel algorithm that could revolutionize the way we track and analyze ship emissions. The study, led by Chen Liu from the China Waterborne Transport Research In

In the harsh, icy waters of the polar regions, ships face unique challenges that can put their structural integrity at risk. A recent study, led by Kai Sun from the State Key Laboratory of Structural Analysis, Optimization and CAE Software for Indust

In the world of maritime preservation and maintenance, keeping an eye on the condition of ropes is a critical task, especially aboard historic ships. Letizia Rosseti, from the Department of Mechanical, Energy, Management and Transportation Engineerin

In a significant stride towards smarter maritime operations, a recent study published in the Polish Maritime Research, or ‘Badania Morskie’ in English, has demonstrated the tangible benefits of artificial intelligence (AI) in optimising ship operatio

Researchers Erblin Isaku, Hassan Sartaj, and Shaukat Ali have introduced a groundbreaking approach to enhance the safety and reliability of autonomous vessels (AVs) through the use of digital twins and machine learning. Their work, titled “Digital Tw

In the bustling port of Labuan Bajo, where tourist ships come and go, a critical study has emerged that could reshape how these vessels manage their electrical systems. I Made Aditya Nugraha, from the Department of Fisheries Mechanization at the Mari

Researchers at the Technical University of Denmark, including P. G. Morato, K. G. Papakonstantinou, C. P. Andriotis, J. S. Nielsen, and P. Rigo, have developed a novel approach to optimize inspection and maintenance planning for deteriorating structu

Pete Schroepfer, Nathalie Schauffel, Jan Gründling, Thomas Ellwart, Benjamin Weyers, and Cédric Pradalier have published a compelling roadmap for fostering trust and acceptance of multi-robot systems in real-world environments, drawing on insights fr

In a significant stride towards enhancing maritime safety and operational efficiency, researchers have developed a hybrid model that combines classical statistical methods with artificial intelligence to predict failures in ship engine fuel systems.

Researchers Federico Zocco, Hsueh-Cheng Wang, and Mien Van from the University of Genoa have published a comprehensive review on the implementation of digital twins in marine operations. Their work aims to clarify how digital twins can be effectively