- Ship Hydrodynamics and Maneuverability
- Maritime Navigation and Safety
- Maritime Transport Emissions and Efficiency
- Structural Integrity and Reliability Analysis
- Fluid Dynamics Simulations and Interactions
- Fault Detection and Control Systems
- Maritime Ports and Logistics
- Structural Health Monitoring Techniques
- Wave and Wind Energy Systems
- Vehicle emissions and performance
- Transportation Planning and Optimization
- Law, logistics, and international trade
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Environmental and Ecological Studies
- Oil Spill Detection and Mitigation
- Irrigation Practices and Water Management
- Urban and Freight Transport Logistics
- Technology Assessment and Management
- Environmental Science and Water Management
- Balkan and Eastern European Studies
- Hydrological Forecasting Using AI
- Law, Ethics, and AI Impact
- Digital Transformation in Industry
- Oceanographic and Atmospheric Processes
Universidade da Coruña
2013-2025
In this paper, the application of machine learning and deep algorithms for fault failure detection in maritime systems is examined, specifically focusing on pipe ruptures a ship’s saltwater firefighting (FiFi) system using pressure sensor data. Neural network models were developed to distinguish between normal operational states anomalies, as well accurately locate faults within ship. Data collected real-world tests with FiFi sensors, capturing both operations simulated ruptures,...
This paper provides a decision-making tool for shipping companies that try to operate under motorways of the sea conditions by evaluating their environmental performance. From definition and resolution mathematical model assuming 'many many' transport networks, number vessels, manoeuvring means, speed, cargo handling systems type units, along with naval architecture engineering container ships, are defined maximise success opportunities multimodal chains against road. Due particularity...
Implementation of the Global Sulphur Cap (GSC), in January 2020, boosted scrubber installation vessels to fulfill new air emission limitations. This increase scrubbers' use has intensified concern about its environmental performance. Even though achievement GSC requirements through this mitigation system been widely proven, impact wash water discharge on marine environment remains under discussion. In paper, an assessment model is introduced quantify monetary terms performance feeder that...
This paper presents the work done for developing a self-propelled scale ship model towing tank testing, with main characteristic of not having any material link to device carry out tests. has been fully instrumented in order acquire all significant raw data, process them onboard and communicate an inshore station, this both seakeeping resistance In illustrate applicability advantages proposed model, some results obtained by its application on test campaign, aimed at parametric roll detection...
Fishing sector is one of the most dangerous worldwide. Accidents are usually related to stability failures that can be due static or dynamic phenomena. Their main cause crew lack training in matters, especially small-medium sized fishing vessels. The vast majority fishermen assess risk level their ship carrying out a subjective analysis, based on previous experience. In order reduce number stability-related accidents, onboard guidance systems were proposed last years as tool helps skippers...
A neural network based system has been applied for forecasting the large amplitude roll motions of a ship that appear during parametric resonance. Under these conditions, motion presents highly nonlinear behavior and accurate predictions are difficult to achieve using classical mathematical modeling approaches. The results obtained present very good agreement reality, leading possibility applying as base warning system.
An ANN based system has been developed for forecasting the roll motion of a ship and predicting onset parametric resonance. This kind instability can be devastating is phenomenon that difficult to predict when using classical mathematical modeling approaches. In present investigation ANNs are trained data obtained from model while performance whole verified with realistic towing tank tests. The results achieved quite promising support claim it implemented in any without need water or real
Active monitoring of transverse stability in fishing vessels is paramount due to its significant incidence operational accidents. Access systems for automatic detection changes vessel’s related parameters would better support the crew during and navigation operations. The paper presents an initial experimental validation a signal-based system, which consists estimator-detector kernel that solely uses measurements roll motion identify metacentric height by estimating natural frequency. Its...
Stability-related accidents and crew lack of training are among the main causes fatalities in fishing fleet. Onboard stability guidance systems have been proposed by many authors as a possible solution. These evolving from colour-coded posters to computer-based systems. However, their real-time operation without interaction is not solved yet. This work presents validation methodology previous works for estimating natural roll frequency vessel thus metacentric height. The performance this...
Fulfilment of the progressive environmental normative involves a singular challenge for Short Sea Shipping (SSS), since it must maintain its competitiveness versus other transport alternatives. For this reason, over last decade SSS vessels have been subject numerous analyses, in terms operative research, and optimizations, from marine engineering standpoint. Despite widespread awareness about impact vessel’s resistance on performance, many previous analyses were based prediction methods with...
The main objectives of this paper are to define the design parameters and operational features for new fishing vessels in order increase their economic profitability. Thus, an model activity has been developed by taking into account Galician fleet (Spain) last 7 years. Subsequently, influence each variable evaluated through application Monte Carlo simulation type vessel. Once controllable market variables have identified, quantification on result carried out. From data provided shipowners...
Onboard guidance systems have emerged to improve the safety of fishing vessels providing skipper with simplified stability information. In last years, authors developed a monitoring system that automatically estimates natural roll frequency vessel. Although performance was acceptable, there were some specific situations where influence external excitations reduced accuracy estimations. this work, methodology estimate wave encounter from ship motions is proposed. Then, included in system....