All Outputs (3)

Proceedings: SimBio-M 2024 (ed. Peter Zioupos, Christophe Bastien) (2024)
Presentation / Conference Contribution
(2024, September). Proceedings: SimBio-M 2024 (ed. Peter Zioupos, Christophe Bastien). Presented at SimBio-M 2024, Online

This conference introduces new technologies, advances and tools in the various fields of Simulation in Biosciences and Multiphysics, notably in the areas of BioMechanics, BioMaterials, and BioMedicine.

While the conference concentrates mainly on t... Read More about Proceedings: SimBio-M 2024 (ed. Peter Zioupos, Christophe Bastien).

Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection (2023)
Presentation / Conference Contribution
Burton, H., Bouillard, J. S., & Kemp, N. Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection. Presented at 2023 IEEE International Symposium on Circuits and Systems (ISCAS), 21-25 May 2023, Monterey, CA, USA

The UK offshore wind industry is rapidly growing to meet CO2 emission targets. However, the main drawback of the offshore environment is the increased cost of maintenance. Artificial Neural Networks (ANN) show great potential to reduce this cost. Lon... Read More about Memristor-based LSTM neuromorphic circuits for offshore wind turbine blade fault detection.

Deep reinforcement learning for maintenance planning of offshore vessel transfer (2020)
Presentation / Conference Contribution
Chatterjee, J., & Dethlefs, N. (2020, October). Deep reinforcement learning for maintenance planning of offshore vessel transfer. Presented at 4th International Conference on Renewable Energies Offshore (RENEW 2020), Lisbon, Portugal

Offshore wind farm operators need to make short-term decisions on planning vessel transfers to turbines for preventive or corrective maintenance. These decisions can play a pivotal role in ensuring maintenance actions are carried out in a timely and... Read More about Deep reinforcement learning for maintenance planning of offshore vessel transfer.