In this project, we study the potential applications of Bayesian networks for the identification of mooring line damage for floating offshore wind turbines.
- main.py is the main Python code we want to run to train a BNN.
- The data directory contains the set of synthetic data used for training and validation of our model.
- The prev directory contains previous work in the form of published/submitted papers, codes, etc.
- The src directory contains all the modules required to run main.py, including preprocessing, architecture design, model implementation and training, and postprocessing.
- The out directory contains figures, tables, and statistics obtained from the trained BNN.
- The docs directory contains reference to various topics including Bayesian inference, Bayesian neural networks, uncertainty quantification, etc.