IEEE

Physics-Informed Machine Learning for Transformer Condition Monitoring – Part II: Physics-Informed Neural Networks and Uncertainty Quantification

Physics-informed Neural Networks (PINNs) have emerged as a promising approach to address some of the limitations of classical Neural Networks (NNs) in science and engineering applications. In ...