Digital Twin Technology for State Monitoring of Power Transformers Based on Supercomputing Platforms

Monitoring the status of power transformers contributes to timely maintenance and reduces accidents. By connecting actual transformer sensor data to digital twin models and leveraging the high-performance computing capabilities of supercomputing platforms, accurate monitoring, fault prediction, and optimization of maintenance decisions for power transformer operation can be achieved. Real-time monitoring methods involve collecting real-time …