My Transformer’s Health Index doesn’t bite!

My Transformer’s Health Index doesn’t bite!

by | Feb 3, 2022 | AI, Algorithms, Article, Artificial Intelligence, Big Data, Condition Monitoring, Data Engineering, digital, Enegy Transition, Energy, Energy Transition, Health Index, Moisture Measurements, News, Power Transformers, Predictive Maintenance, Product upgrade, Test engineering, Transformers Oil

The transformer health index (HI) theory is one of the most debated approaches in the power industry. It is widely endorsed in CIGRE brochures with various methodologies, approaches, and recommendations. This article is not a technical discussion, instead an addressal...
Does digitization means only collecting data online?

Does digitization means only collecting data online?

by | Jan 10, 2022 | AI, Article, Artificial Intelligence, Condition Monitoring, digital, Enegy Transition, Health Index, Power Transformers, Predictive Maintenance

 Every now and then I think it makes you stop and think without being overwhelmed by the prevailing trends… In early December of 2021, we had the great opportunity to be exhibitors in the Hub Initiate of the ENLIT international fair dedicated to innovative startups...
Using AI-driven Health Indexing strategy to analyse a Generator Step Up (GSU) Transformer

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

by | 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...