Partial Discharge Essentials: Testing Methodologies and Practical Application for Real-World Assets

Webinar details

This webinar provides a comprehensive technical foundation in Partial Discharge (PD) analysis, beginning with a deep dive into the fundamental physics of the phenomenon within electrical assets. We will explore the mechanics of how PD manifests (including internal, surface, and corona discharges) and identify the specific energy byproducts emitted by each, such as electromagnetic waves, acoustic signals, and chemical tracers. By establishing a direct link between the discharge type and its physical signature, this webinar will provide a clear framework for selecting the appropriate sensing technologies required to accurately detect, localize, and assess the severity of insulation defects.

The presentation further examines the practical application of these diagnostic tools across a wide variety of assets, specifically addressing the inherent strengths and weaknesses of each test method. We will evaluate how the availability and efficacy of different methodologies are fundamentally dictated by the specific equipment type, ranging from transformers and switchgear to overhead assets and cable networks. The goal is to identify when specific sensors become non-viable due to an asset’s configuration, ensuring the chosen diagnostic approach is technically valid for the diverse hardware found in the field.

• The webinar will be recorded and will be sent out to registered attendees afterwards.
• A certificate of attendance will be provided to attendees who request one near the end of the live webinar session.
• Please note: the time stated on this event is in UTC. You will need to convert this to your own time zone.

Key takeaways from this webinar

• Gain a comprehensive understanding of the physics behind partial discharge, the main types of partial discharge and how it is detected.
• Learn the testing methodologies available and the sensing technologies used to detect partial discharge, including the strengths and weaknesses of each test method and sensor.
• Understand how asset type and construction play a role in determining the most effective diagnostic approach to PD testing with regards to choice of sensor and its efficacy.

Related courses

This webinar/topic relates to our school of Electrical Engineering and is particularly found in the following courses:

• Professional Certificate of Competency in Power Distribution
• 52888WA Advanced Diploma of Applied Electrical Engineering (Power Industry)
• Bachelor of Science (Electrical Engineering)
• Graduate Certificate in Power Engineering
• Graduate Certificate in Power System Analysis and Design
• Associate Degree in Electrical Engineering
• Master of Engineering (Electrical Systems)
• Master of Engineering – Applied Research (Electrical Systems)

About the presenter

Thomas Whyte, Senior Engineer

Thomas is the Senior Engineer at EA Technology Australia and works with utilities and businesses to maintain safe, reliable and efficient power networks. He specializes in high and low voltage network solutions and is recognized as an industry expert in partial discharge (PD) detection, asset health and condition monitoring. As a trusted technical advisor, Thomas plays a key role in identifying, assessing, and mitigating faults in both the high and low voltage network infrastructure. Using data analytics, he delivers proactive maintenance strategies that enhances the reliability of assets, extends its lifespan and prevents failures.