Offshore wind turbine operations and maintenance: A state-of-the-art review

Z Ren, AS Verma, Y Li, JJE Teuwen, Z Jiang - Renewable and Sustainable …, 2021 - Elsevier
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 …

Review of research progress of autonomous and unmanned ship** and identification of future research directions

I Jovanović, M Perčić, A BahooToroody… - Journal of Marine …, 2024 - Taylor & Francis
The maritime industry is following the trend of increased autonomy and digitalisation applied
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 …

[HTML][HTML] Wind turbine blade icing detection: A federated learning approach

X Cheng, F Shi, Y Liu, X Liu, L Huang - Energy, 2022 - Elsevier
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 …

A novel deep class-imbalanced semisupervised model for wind turbine blade icing detection

X Cheng, F Shi, X Liu, M Zhao… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

[HTML][HTML] Sea state identification using machine learning—A comparative study based on in-service data from a container vessel

M Mittendorf, UD Nielsen, HB Bingham, G Storhaug - Marine Structures, 2022 - Elsevier
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 …

A novel robustness-enhancing adversarial defense approach to AI-powered sea state estimation for autonomous marine vessels

S Li, X Cheng, F Shi, H Zhang, H Dai… - … on Systems, Man …, 2024 - ieeexplore.ieee.org
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 …

[HTML][HTML] Predictive digital twins for autonomous surface vessels

A Hasan, A Widyotriatmo, E Fagerhaug, O Osen - Ocean engineering, 2023 - Elsevier
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 …

Temporal attention convolutional neural network for estimation of icing probability on wind turbine blades

X Cheng, F Shi, M Zhao, G Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
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 …

A blockchain-empowered cluster-based federated learning model for blade icing estimation on IoT-enabled wind turbine

X Cheng, W Tian, F Shi, M Zhao… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …