E-lesson

Optics11 webinar: From FAT to Fleet: Making PD Detection Actionable

Free Wednesday, 22 April 2026, 2:00 PM TZ Europe/Zagreb
Free

Hosted by: Transformers Academy

Partial discharge monitoring only creates value when it leads to reliable localization and effective decisions, not just detection.

In this E-lesson, Optics11 presents practical case studies of fiber-optic PD monitoring of transformers, using OptiFender.

 

The session connects two critical use cases:

• OEMs perspective: improving PD and defect localization during FAT • Asset owner perspective: enabling condition based monitoring and avoid unplanned maintenance or outages

 

You will see how fiber-optic sensing technology enables high-precision PD localization, pinpointing the exact PD source and reducing ambiguity in test results.

For in-service transformers, we demonstrate how continuous PD measurements are translated into a real-time health status, supporting condition-based maintenance strategies.

 

This session also covers: • Implementation and commissioning considerations in both factory and field environments • Integration into existing asset management workflows • How decision-grade PD data supports faster fault assessment and reduces operational risk

 

 

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.

Dr. Hamed Hashemi Dezaki

Partial Discharge Lead

Dr. Hamed Hashemi is Partial Discharge Lead at Optics11, with more than 15 years of experience in partial discharge diagnostics, high-voltage testing, and condition monitoring across transformers, cables, and GIS assets. An expert in HV engineering and power systems, he combines technical depth with hands-on experience in commissioning, customer training, and global field operations, with a strong focus on digitalizing power asset diagnostics and advancing predictive maintenance.