| Optimal inspection and maintenance planning for deteriorating structural components through dynamic Bayesian networks and Markov decision processes PG Morato, KG Papakonstantinou, CP Andriotis, JS Nielsen, P Rigo Structural Safety 94, 102140, 2022 | 49 | 2022 |
| Prediction of remaining fatigue life of welded joints in wind turbine support structures considering strain measurement and a joint distribution of oceanographic data QA Mai, W Weijtjens, C Devriendt, PG Morato, P Rigo, JD Sørensen Marine Structures 66, 307-322, 2019 | 29 | 2019 |
| Inference and dynamic decision-making for deteriorating systems with probabilistic dependencies through Bayesian networks and deep reinforcement learning PG Morato, CP Andriotis, KG Papakonstantinou, P Rigo Reliability Engineering & System Safety 235, 109144, 2023 | 26 | 2023 |
| Information value-based optimization of structural and environmental monitoring for offshore wind turbines support structures L Long, QA Mai, PG Morato, JD Sørensen, S Thöns Renewable energy 159, 1036-1046, 2020 | 14 | 2020 |
| Inspection and maintenance planning for 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 and Infrastructure Engineering 18 (7), 983-1001, 2022 | 10 | 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 | 10 | 2021 |
| Optimal inspection and repair scheduling for mitre lock gates TV Dang, PG Morato, QA Mai, P Rigo Proceedings of the Institution of Civil Engineers-Maritime Engineering 172 …, 2019 | 9 | 2019 |
| POMDP based maintenance optimization of offshore wind substructures including monitoring PG Morato, JS Nielsen, AQ Mai, P Rigo | 7 | 2019 |
| Managing offshore wind turbines through Markov decision processes and dynamic Bayesian networks PG Morato, KG Papakonstantinou, CP Andriotis, P Rigo 13th International Conference on Structural Safety & Reliability (ICOSSAR), 2022 | 5 | 2022 |
| Optimal inspection and maintenance planning for deteriorating structures via Markov decision processes and deep reinforcement learning: Application to offshore wind substructures PG Morato PhD Thesis, University of Liege, Liege, 2021 | 5 | 2021 |
| Point-based POMDP risk based inspection of offshore wind substructures PG Morato, QA Mai, P Rigo, JS Nielsen Life Cycle Analysis and Assessment in Civil Engineering: Towards an …, 2018 | 4 | 2018 |
| IMP-MARL: a suite of environments for large-scale infrastructure management planning via MARL P Leroy, PG Morato, J Pisane, A Kolios, D Ernst Advances in Neural Information Processing Systems 36, 2024 | 2 | 2024 |
| Numerical fatigue modeling and simulation of interacting surface cracks in offshore wind structural connections J Mishael, PG Morato, P Rigo Marine Structures 92, 103472, 2023 | 2 | 2023 |
| Inspection and maintenance planning for offshore wind support structures: Modelling reliability and inspection costs at the system level F Giro, J Mishael, PG Morato, P Rigo International Conference on Offshore Mechanics and Arctic Engineering 85864 …, 2022 | 2 | 2022 |
| Probabilistic virtual load monitoring of offshore wind substructures: A supervised learning approach N Hlaing, PG Morato, P Rigo ISOPE International Ocean and Polar Engineering Conference, ISOPE-I-22-458, 2022 | 1 | 2022 |
| 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, 14759217231186048, 2022 | 1 | 2022 |
| Optimal Inspection and Maintenance Planning for Deteriorating Structures via Markov Decision Processes and Deep Reinforcement Learning. Application to Offshore Wind Substructures. PG Morato Dominguez ULiège-Université de Liège, Liège, Belgium, 2021 | 1 | 2021 |
| Updating the failure probability of miter gates based on observation of water levels TV Dang, QA Mai, PG Morato, P Rigo | 1 | 2019 |
| Updating the Failure Probability of Miter Gates Based on Observation of Water Levels T Van Dang, QA Mai, PG Morato, P Rigo Mechanical Fatigue of Metals: Experimental and Simulation Perspectives, 221-228, 2019 | 1 | 2019 |
| Developing Energy Communities with Intelligent and Sustainable Technologies–First Results A Los, R Moody, C Andriotis, S Khademi, PG Morato EGU24, 2024 | | 2024 |
Jannie Sønderkær NielsenAalborg University, Department of the Built EnvironmentΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα build.aau.dk
