Substations Asset Analytics
Project 34.002
Key objectives:
- Offer guidelines on what substation equipment specific data to collect and why?
- Evaluate where advanced analytical techniques (e.g. Artificial Intellegence, Statistical Analysis, etc.) can be applied to better understand substation equipment performance. For example, Natural Language Processing to categorize equipment maintenance records into meaningful categories.
- Develop new metrics and analytics by collecting and analyzing industry wide performance data for power transformers, circuit breakers, disconnect switches, capacitor banks, substation batteries and protective relays.
- Develop and deliver new versions of asset health algorithms for power transformers and circuit breakers.



Research & Technical Content
Key takeaways, results from ongoing research tasks and how they are applied in informing asset management decisions.