Advanced Transformer Condition Monitoring with Physics-Informed AI

This article discusses the application of physics-informed machine learning for transformer condition monitoring, indicating a potentially significant advancement in predictive maintenance. The use of physics-informed neural networks coupled with uncertainty quantification suggests a sophisticated approach to improving the reliability and efficiency of power systems.

• •Applies Physics-Informed Machine Learning to transformer condition monitoring.
• •Utilizes Physics-Informed Neural Networks.
• •Incorporates Uncertainty Quantification for improved reliability.