Data-driven decisions for transformer longevity
Event Details:
As aging power grids evolve to accommodate increasing renewable energy integration and shifting load profiles, transformer asset management faces new challenges. This webinar presents a structured approach to End-of-Life (EOL) decision making and targeted overloading of transformers using intelligent monitoring systems and self-learning algorithms.
We will explore why monitoring temperature, moisture and oxygen are essential to enable more accurate assessments of the remaining transformer lifetime. Participants will learn how chemical aging processes impact insulation life, how to estimate remaining lifetime using standards like IEC 60076-7, and how monitoring systems like ETOS® support real-time evaluation of asset aging. Additionally, the session will cover self-learning algorithms that allow for safe overloading, helping utilities and industries to optimize grid capacity without compromising on asset safety.
This 45–60-minute session is ideal for asset managers, grid planners, operations engineers, and decision-makers in maintenance and investment planning. Discover how data-driven insights can extend transformer life, reduce costs, and support smarter infrastructure decisions.
To make participation easier, the webinar will be held in two time slots!
Session 1: 11.12.25, 9:00 – 10:00 AM
Session 2: 11.12.25, 4:00 – 5:00 PM
