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SUMMARY:Partial Discharge Essentials: Testing Methodologies and Practical Application for Real-World Assets
DESCRIPTION:The live presentation of this event has already taken place. \nPlease view the PDF slides here or watch the video recording below:\n \nWebinar details\nThis 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. \nThe 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. \n\nThe webinar will be recorded and will be sent out to registered attendees afterwards.\nA certificate of attendance will be provided to attendees who request one near the end of the live webinar session.\nPlease note: the time stated on this event is in UTC. You will need to convert this to your own time zone.\n\nKey takeaways from this webinar\n\nGain a comprehensive understanding of the physics behind partial discharge\, the main types of partial discharge and how it is detected.\nLearn the testing methodologies available and the sensing technologies used to detect partial discharge\, including the strengths and weaknesses of each test method and sensor.\nUnderstand 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.\n\nRelated courses\nThis webinar/topic relates to our school of Electrical Engineering and is particularly found in the following courses: \n\nProfessional Certificate of Competency in Power Distribution\n52888WA Advanced Diploma of Applied Electrical Engineering (Power Industry)\nBachelor of Science (Electrical Engineering)\nGraduate Certificate in Power Engineering\nGraduate Certificate in Power System Analysis and Design\nAssociate Degree in Electrical Engineering\nMaster of Engineering (Electrical Systems)\nMaster of Engineering – Applied Research (Electrical Systems)\n\nJoin Australia’s 13th High Voltage Conference\n21–22 July 2026 | Brisbane | Australia \nIf you’re based in Australia or New Zealand and work with high voltage systems\, don’t miss this leading industry conference featuring: \n\n17 expert speakers from Australia and overseas\nPractical case studies and technical workshops\nThe latest developments in HV asset management\, testing\, maintenance and safety\nValuable networking with industry peers\n\nLearn more and register:\n13th High Voltage Conference | New Speakers | 82% Tickets Sold \nAbout the presenter\n \nThomas Whyte\, Senior Engineer\n \nThomas 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.
URL:https://www.eit.edu.au/event/partial-discharge-essentials-testing-methodologies-and-practical-application-for-real-world-assets/
LOCATION:Online
CATEGORIES:Technical Engineering Topics Webinar
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