by Seetalabs | Jan 4, 2024 | Article, Health Index, News, Power Transformers, Predictive Maintenance, Research, Transformers Oil
Globally, transformer experts agree that a health index cannot indicate how rapidly the transformer condition may worsen and the type of action needed. Rather it indicates how “unhealthy” an asset is. This begs for two questions, (i) what is the use of...
by Seetalabs | Sep 16, 2023 | AI, Article, News, Power Transformers, Predictive Maintenance
If artificial intelligence (AI) is to reach its potential in transformer industry, then it is imperative to minimize the risk of bias in decision making, particularly for asset management. A blog post from Mckinsey suggests that one of ways we can tackle the risk of...
by Seetalabs | Jul 21, 2023 | Article, Health Index, News, Power Transformers, Predictive Maintenance, Research
Short answer, yes. Global enterprises rely on integration between different APIs to unlock the full potential of accessible technical services and knowledge about their asset’s performance. API integration is largely (mis)understood as a IT folk-talk....
by Seetalabs | Apr 24, 2023 | Power Transformers
Transformer health indexing (THI) is an industrial strategy to rank transformers within a fleet according to their intervention priority. A THI score can help in ensuring commendable decisions on repair, replacement, and refurbishment of transformers in a grid. They...
by Seetalabs | Dec 1, 2021 | AI, Article, Artificial Intelligence, Condition Monitoring, digital, Enegy Transition, Health Index, Power Transformers, Predictive Maintenance
Electricity is an integral part of our life and its sudden unavailability can be highly disryptive. Therefore, power and energy companies strives to maintain grid integrity and service continuity. An abrupt power outage leads to market backlash, harsh regulatory...
by Seetalabs | Nov 25, 2021 | AI, Artificial Intelligence, Condition Monitoring, Data Analysis, Data Engineering, Power Transformers, Predictive Maintenance
In April 2020, a utility registers ultimate failure of a 100 MVA, 100/110 kV generator step-up (GSU) transformer. Built in 1980, the transformer was prone to particularly high level of hydrogen, ethylene, and acetylene presence in oil. The utility recognizes it as a...
