Using data and AI to operate and maintain your power transformer

Show notes

The analysis and utilization of transformer data is becoming increasingly important, due to a growing knowledge gap in the context of increasing staff retirements, coupled with the challenges of managing a mixed transformer fleet. In this episode, Tobias Gruber, expert for transformer automation at MR, provides insight into the application of advanced machine learning algorithms to predict and mitigate potential failures in power transformers. He also describes the role of cybersecurity in the design of critical infrastructure systems, ensuring effective assessment and long-term reliability.