Improve insulation life forecasts with accurate DP analysis
Hosted by: Alonso Castillo / Free
Join our free e-lesson as we present a more accurate, analytics-driven model to calculate the ‘true age’ and life left of transformer insulation.
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Learn how live data and advanced algorithms that incorporate industry standards can be used to consistently estimate insulation health and also forecast remaining life. See the impact of shifting conditions such as heat waves and volatile renewable energy flows on the life expectancy of your fleet. Save money and optimize the use of transformer life by making better decisions for maintenance, operations and capital projects based on accurate and complete information.
Keywords: DP Value, insulation health, life left, condition monitoring
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About the author
Alonso Castillo
AurtraAlonso is an Electrical Engineer with an MBA title and has made a career in the power delivery industry, his last 10 years specializing in power and distribution transformers. Alonso has worked in various roles at Siemens, General Electric, and other global solutions providers before joining AURTRA as the VP of the Americas for Business Development. He is familiar with SCADA/EMS/OMS systems, substation automation, remote monitoring and with the functionality of all types of substation equipment as well as equipment “outside the fence”.
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