[HTML][HTML] Numerical methods for monitoring and evaluating the biofouling state and effects on vessels' hull and propeller performance: A review
I Valchev, A Coraddu, M Kalikatzarakis, R Geertsma… - Ocean …, 2022 - Elsevier
Monitoring and evaluating the biofouling state and its effects on the vessel's hull and
propeller performance is a crucial problem that attracts the attention of both academy and …
propeller performance is a crucial problem that attracts the attention of both academy and …
[HTML][HTML] Shipping in the era of digitalization: Mapping the future strategic plans of major maritime commercial actors
Abstract The so-called “Fourth Industrial revolution”, also termed as “Industry 4.0” in the
wider literature, is associated with several cutting-edge technologies. Indicative examples in …
wider literature, is associated with several cutting-edge technologies. Indicative examples in …
[PDF][PDF] Harnessing AI for Sustainable Shipping and Green Ports: Challenges and Opportunities
The maritime industry, responsible for moving approximately 90% of the world's goods,
significantly contributes to environmental pollution, accounting for around 2.5% of global …
significantly contributes to environmental pollution, accounting for around 2.5% of global …
A decision tree model for the prediction of the stay time of ships in Brazilian ports
LR Abreu, ISF Maciel, JS Alves, LC Braga… - … Applications of Artificial …, 2023 - Elsevier
Maritime transport is an alternative modal logistic in transporting cargo for long distances
and in large quantities. However, the logistical planning for this modal becomes costly due …
and in large quantities. However, the logistical planning for this modal becomes costly due …
Early stator fault detection and condition identification in induction motor using novel deep network
F Husari, J Seshadrinath - IEEE Transactions on Artificial …, 2021 - ieeexplore.ieee.org
Fault diagnosis of induction motor is an important task for both the researchers and industry.
The interturn fault is one of the frequented faults and accounts for more than 37% of the …
The interturn fault is one of the frequented faults and accounts for more than 37% of the …
[HTML][HTML] Healthy marine diesel engine threshold characterisation with probability density functions and ANNs
J Castresana, G Gabiña, I Quincoces… - Reliability Engineering & …, 2023 - Elsevier
The condition-based maintenance of marine propulsion systems is attracting increasing
interest in safety-related, financial, and environmental terms. Many researchers have studied …
interest in safety-related, financial, and environmental terms. Many researchers have studied …
Use of Genetic Programming for the Estimation of CODLAG Propulsion System Parameters
In this paper, the publicly available dataset for the Combined Diesel-Electric and Gas
(CODLAG) propulsion system was used to obtain symbolic expressions for estimation of fuel …
(CODLAG) propulsion system was used to obtain symbolic expressions for estimation of fuel …
Maritime robotics and autonomous systems operations: Exploring pathways for overcoming international techno-regulatory data barriers
The current regulatory landscape that applies to maritime service robotics, aptly termed as
robotics and autonomous systems (RAS), is quite complex. When it comes to patents, there …
robotics and autonomous systems (RAS), is quite complex. When it comes to patents, there …
A literature review and future research agenda on fault detection and diagnosis studies in marine machinery systems
Fault detection and diagnostics (FDD) have great potential to enable safety, efficiency, and
reliability measures of critical machinery systems. However, it is clear that there is a lack of …
reliability measures of critical machinery systems. However, it is clear that there is a lack of …
Enhancing resilience in marine propulsion systems by adopting machine learning technology for predicting failures and prioritising maintenance activities
M Elmdoost-gashti, M Shafiee… - Journal of Marine …, 2024 - Taylor & Francis
With the rapid transition towards Industry 4.0, many industries have recognised the need to
develop intelligent maintenance systems and predictive analytics tools that are able to …
develop intelligent maintenance systems and predictive analytics tools that are able to …