Predictive analysis using machine learning modelling of digital twin of a Power Transformer
There is a need for an advanced, predictive maintenance approach that leverages real-time data and sophisticated analytics to enhance the reliability, efficiency, and lifespan of power transformers. The digital twin will enable continuous monitoring, fault diagnosis and predictive maintenance, thus minimizing downtime and optimizing performance. Machine-learning