Inspection and maintenance planning of offshore wind structural components: Integrating fatigue failure criteria with Bayesian networks and Markov decision processes N Hlaing, PG Morato, JS Nielsen, P Amirafshari, A Kolios, P Rigo Structure & Infrastructure Engineering, 2022 | 12 | 2022 |
The effect of failure criteria on risk-based inspection planning of offshore wind support structures N Hlaing, PG Morato, P Rigo, P Amirafshari, A Kolios, JS Nielsen Life-Cycle Civil Engineering: Innovation, Theory and Practice, 146-153, 2021 | 12 | 2021 |
Farm-wide virtual load monitoring for offshore wind structures via Bayesian neural networks N Hlaing, PG Morato, FN Santos, W Weijtjens, C Devriendt, P Rigo Structural Health Monitoring 23 (3), 1641-1663, 2024 | 6 | 2024 |
Probabilistic Virtual Load Monitoring of Offshore Wind Substructures: A Supervised Learning Approach N Hlaing, PG Morato, P Rigo The Thirty-second (2022) International Ocean and Polar Engineering Conference, 2022 | 2 | 2022 |
Data-driven Virtual Monitoring and Life-cycle Management of Offshore Wind Support Structures N Hlaing University of Liège [Urban and Environmental Engineering], Liège, Belgium, 2024 | | 2024 |
Interpretation and analysis of deep reinforcement learning driven inspection and maintenance policies for engineering systems PG Morato, KG Papakonstantinou, CP Andriotis, N Hlaing, A Kolios 14th International Conference on Applications of Statistics and Probability …, 2023 | | 2023 |
Post-processed dataset from 50000 numerical simulations of monopile-supported NREL 5MW wind turbine in OpenFAST N Hlaing | | 2022 |
Inspection and maintenance planning for offshore wind structural components N Hlaing, PG Morato, JS Nielsen, P Amirafshari, K Athanasios, P Rigo | | |