Physics-Informed AI for Transformer Condition Monitoring: A New Approach
Published:Dec 20, 2025 10:10
•1 min read
•ArXiv
Analysis
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.
Key Takeaways
- •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.
Reference
“The article focuses on Part I: Basic Concepts, Neural Networks, and Variants.”