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Proceedings Papers

Spectral Graph-Based Networks for Mooring Line Failure Detection on FPSO

José Lucas De Melo Costa, Fernando Kurike Matsumoto, Caio F. Deberaldini Netto, Marcel R. de Barros, Asdrubal do Nascimento Queiroz Filho, Edson S. Gomi, Eduardo A. Tannuri, Anna Helena Reali Costa
Proc. ASME. OMAE2024, Volume 1: Offshore Technology, V001T01A051, June 9–14, 2024
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2024-136899
https://doi.org/10.1115/OMAE2024-136899
View Paper titled, Spectral Graph-Based Networks for Mooring Line Failure Detection on FPSO
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Topics: Failure, FPSO, Graph neural networks, Machine learning, Mooring
Proceedings Papers

Damage Localization on Wind Turbine Blades Using Acoustic Emission (AE) Signals and Graph Neural Network (GNN)

Zhimin Zhao, Nian-Zhong Chen
Proc. ASME. OMAE2024, Volume 2: Structures, Safety, and Reliability, V002T02A022, June 9–14, 2024
Publisher: American Society of Mechanical Engineers
Paper No: OMAE2024-124178
https://doi.org/10.1115/OMAE2024-124178
View Paper titled, Damage Localization on Wind Turbine Blades Using Acoustic Emission (AE) Signals and Graph Neural Network (GNN)
Open the PDF for Damage Localization on Wind Turbine Blades Using Acoustic Emission (AE) Signals and Graph Neural Network (GNN) in another window
Topics: Acoustic emissions, Blades, Damage, Graph neural networks, Signals, Time-frequency analysis, Wind turbines