E-lesson

Optics11 webinar: From PD Detection to Decisions: Improving Confidence in Transformer Maintenance

Free Wednesday, 17 June 2026, 2:00 PM TZ Europe/Zagreb
Free

Hosted by: Transformers Academy

Partial discharge monitoring can help your team reduce uncertainty in maintenance decisions. In this session, we explore how utilities and other asset owners use PD monitoring to identify and localize defects, improve diagnostic accuracy, and validate maintenance actions. Through practical examples, we show how better insight into the type and exact location of PD enables more confident decisions and more effective transformer maintenance strategies.

 

About the author

Jamie Bryson

Head of Product Management

Jamie is Head of Product Management for Energy at Optics11, helping utilities predict failures, reduce downtime, and protect high-voltage assets. With more than 25 years of experience across engineering, sales, and product management, and a background in Electrical and Electronic Engineering, he bridges deep-tech innovation and commercial strategy to deliver robust hardware solutions that perform in harsh environments and generate actionable insights for the modern grid.

Serhii Tankevych, PhD

Applications Manager

Serhii Tankevych is an energy innovation expert with a PhD in Electrical Engineering and about 20 years of experience in smart grids, grid digitalization, and advanced technologies for the energy sector. His work focuses on intelligent monitoring systems, and technologies that improve the reliability and resilience of modern power networks.
At Optics11, Serhii serves as Applications Manager, helping utilities and transformer OEMs implement OptiFender solutions.
Previously, he led innovation and R&D initiatives in the utility sector, managing pilot projects, and scaling advanced technologies for real-world grid operations.