About
Contact & Profiles
A5033736150
Research Areas
- Fire Detection and Safety Systems
- Maritime Ports and Logistics
- Risk and Safety Analysis
- Structural Health Monitoring Techniques
- Maritime Navigation and Safety
- Flexible and Reconfigurable Manufacturing Systems
- Water Systems and Optimization
- Structural Integrity and Reliability Analysis
- Advanced Manufacturing and Logistics Optimization
- Electromagnetic Launch and Propulsion Technology
- Digital Transformation in Industry
Universidade da Coruña
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,...
10.3390/app15031181
article
EN
cc-by
Applied Sciences
2025-01-24
10.1007/s00170-020-05229-6
article
EN
The International Journal of Advanced Manufacturing Technology
2020-05-01
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