Physics-Informed AI for Transformer Condition Monitoring: A New Approach

This article explores the application of physics-informed machine learning to transformer condition monitoring, offering a potentially powerful method for predictive maintenance. The use of physics-informed AI could lead to more accurate and reliable assessments of transformer health, improving operational efficiency.

• •Applies physics-informed machine learning to transformer condition monitoring.
• •Investigates the use of neural networks and their variants in this context.
• •Potentially improves the accuracy and reliability of transformer health assessments.