Deep reinforcement learning for cost-optimal condition-based maintenance policy of offshore wind turbine components
J Cheng, Y Liu, W Li, T Li - Ocean Engineering, 2023 - Elsevier
The high cost of operation and maintenance can impede the development of offshore wind
turbines (OWTs). With advancements in detection technology, condition-based maintenance …
turbines (OWTs). With advancements in detection technology, condition-based maintenance …
Numerical fatigue modeling and simulation of interacting surface cracks in offshore wind structural connections
J Mishael, PG Morato, P Rigo - Marine Structures, 2023 - Elsevier
The structural integrity of marine structures is significantly influenced in many practical
applications by their fatigue behavior, especially when dealing with dynamically sensitive …
applications by their fatigue behavior, especially when dealing with dynamically sensitive …
Optimal feature selection through reinforcement learning and fuzzy signature for improving classification accuracy
N Mansouri, A Zandvakili, MM Javidi - Multimedia Tools and Applications, 2024 - Springer
It is the main objective of feature selection to reduce the computational cost of a predictive
model while increasing its performance. For feature selection, an exact search approach is …
model while increasing its performance. For feature selection, an exact search approach is …
[PDF][PDF] Optimizing policies for deteriorating systems considering ordered action structuring and value of information
CP Andriotis, KG Papakonstantinou - 13th International Conference on …, 2022 - par.nsf.gov
Inspection and maintenance (I&M) optimization entails many sources of computational
complexity, among others, due to high-dimensional decision and state variables in multi …
complexity, among others, due to high-dimensional decision and state variables in multi …