Sort by
Refine Your Search
-
Country
-
Employer
-
Field
-
extreme or poorly documented conditions. In parallel, a reliable state of charge (SoC) estimation strategy will be implemented. It will rely in particular on the implementation of Kalman filters and AI
-
performance utilizing reliable and computationally efficient numerical structural models. To support the condition (state) assessment, you will also explore the use of advanced estimators (e.g., Kalman Filter
-
(e.g., Kalman Filter) or Machine Learning models. These tools will be integrated with physics-based models of environmental loading (waves and wind) to enhance the accuracy and robustness
-
computationally efficient numerical structural models. To support the condition (state) assessment, the project will also explore the use of advanced estimators (e.g., Kalman Filter) or Machine Learning models