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Case Study

Using AI-driven Health Indexing strategy to analyse a Generator Step Up (GSU) Transformer

ALESSANDRO CAPO's picture
FOUNDER SEETALABS

Executive global business developer, 20 years experience in power transformers services , on site operations, condition monitoring. Consultant in market strategy for major WasteToEnergy European...

  • Member since 2020
  • 12 items added with 3,064 views
  • Nov 29, 2021
  • 1208 views

This item is part of the Special Issue - 2021-12 - Data Analytics & Intelligence, click here for more

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A utility experiences recurring faults in generator step-Up (GSU) transformer .
The condition monitoring data was uploaded in to an AI based cloud tool to quickly obtain a numerical score called transformer health .

Based on  data an instantaneous health index and corresponding trend was obtained for the given asset.

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Matt Chester's picture
Matt Chester on Nov 29, 2021

I always worry when a single number metric is developed that it will serve to create additional problems-- are utilities going to use this single number, or will it simply be seen as the first indicator after which the experts can come in and dig into the specifics for why the metric was what it was and determine best action? 

Paul Korzeniowski's picture
Paul Korzeniowski on Dec 16, 2021

No doubt that utilities can collect information from devices supporting their infrastructure today more so than any time in the past. The information can be quite helpful in understanding how well or not so well equipment is functioning. The challenge is to build up a data model that helps them correlate information and move from reactive to proactive maintenance. The work is challenging but the end result should make it worthwhile. 

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