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Offshore wind turbine operations and maintenance: A state-of-the-art review
Operations and maintenance of offshore wind turbines (OWTs) play an important role in the
development of offshore wind farms. Compared with operations, maintenance is a critical …
development of offshore wind farms. Compared with operations, maintenance is a critical …
Review of research progress of autonomous and unmanned ship** and identification of future research directions
The maritime industry is following the trend of increased autonomy and digitalisation applied
in aviation, automotive, military, and chemical industries. Maritime autonomous and …
in aviation, automotive, military, and chemical industries. Maritime autonomous and …
[HTML][HTML] An improved ship trajectory prediction based on AIS data using MHA-BiGRU
K Bao, J Bi, M Gao, Y Sun, X Zhang… - Journal of Marine Science …, 2022 - mdpi.com
According to the statistics of water transportation accidents, collision accidents are on the
rise as the ship** industry has expanded by leaps and bounds, and the water …
rise as the ship** industry has expanded by leaps and bounds, and the water …
[HTML][HTML] Wind turbine blade icing detection: A federated learning approach
Wind farms are often located at high latitudes, which entails a high risk of icing for wind
turbine blades. Traditional anti-icing methods rely primarily on manual observation, the use …
turbine blades. Traditional anti-icing methods rely primarily on manual observation, the use …
A novel deep class-imbalanced semisupervised model for wind turbine blade icing detection
Wind energy is of great importance for future energy development. In order to fully exploit
wind energy, wind farms are often located at high latitudes, a practice that is accompanied …
wind energy, wind farms are often located at high latitudes, a practice that is accompanied …
[HTML][HTML] Sea state identification using machine learning—A comparative study based on in-service data from a container vessel
This paper is concerned with a machine learning-based approach for sea state estimation
using the wave buoy analogy. In-situ sensor data of an advancing medium-size container …
using the wave buoy analogy. In-situ sensor data of an advancing medium-size container …
A novel robustness-enhancing adversarial defense approach to AI-powered sea state estimation for autonomous marine vessels
Sea state information is significant for the guide of maritime activities of autonomous vessels.
The sea state estimation (SSE) model, powered by artificial intelligence (AI), has shown …
The sea state estimation (SSE) model, powered by artificial intelligence (AI), has shown …
[HTML][HTML] Predictive digital twins for autonomous surface vessels
This paper presents an approach to improve the reliability and efficiency of autonomous
surface vessels (ASV) by leveraging predictive digital twin and state estimation techniques …
surface vessels (ASV) by leveraging predictive digital twin and state estimation techniques …
Temporal attention convolutional neural network for estimation of icing probability on wind turbine blades
Wind farms are usually located in high-latitude areas, which bring a high risk of icing.
Traditional methods of anti-blade-icing are limited by extra costs and potential damages to …
Traditional methods of anti-blade-icing are limited by extra costs and potential damages to …
A blockchain-empowered cluster-based federated learning model for blade icing estimation on IoT-enabled wind turbine
Wind energy is a fast-growing renewable energy but faces blade icing. Data-driven methods
provide talented solutions for blade icing detection, but a considerable amount of Internet of …
provide talented solutions for blade icing detection, but a considerable amount of Internet of …