If you are responsible for the reliability of these assets:
HV GIS MV GENERATORS MV MOTORS HV CABLE
MV CABLE TRANSFORMERS MV SWITCHGEAR VSD’s
You need to attend this SAIEE Central Gauteng Centre hosted presentation by MARTEC and EA Technologies breakfast taking place at the SAIEE head office
Date: Thursday, October 12, 2017
Time: 8:30 am Coffee, breakfast snack and networking
9:00 - 11:00 am Presentation
Location : SAIEE House
18A Gill Street
For booking contact: Gerda Geyer on firstname.lastname@example.org
Register by October 6th, 2017
“Online Assessment & Monitoring Solutions for MV/HV Networks”
Partial Discharge (PD) is the main precursor to insulation failure in MV and HV electrical equipment. Understanding exactly what PD is and how to measure, analyze and monitor PD activity is key to preventing premature and unexpected failure. New techniques are available to use PD as a cost effective means to enhance reliability through early detection and diagnostics. Covered in the presentation will be the basic theory of PD, the types, causes and modes of failure. Plus the various methods, online and offline, periodic assessments and continuous monitoring, when and how to apply them.
EA Technology EA Technology is a specialist in asset management solutions for owners and operators of electrical assets. Headquartered in the UK, our operations and customers are global with seven regional offices around the world.
We originated in 1966 as a groundbreaking research and development organisation serving the electricity industry.
We are committed to providing our customers with innovative products and services, consultancy and training which deliver tangible benefits for their businesses enabling them to create safer, stronger and smarter networks for today and the future
Presenter: Jason F Butler B-Eng MBA
Initially a British military engineering Officer and now the Sector Lead for EA Technology, Jason is responsible for advising HV network operators as to how best to de-risk their electrical network. His key focus is enabling maintenance teams to find issues before they become failures in the network.