by Seetalabs | Nov 5, 2022 | AI, Algorithms, Artificial Intelligence, Big Data, Blockchain, Data Engineering, Deep Learning, Health Index, Machine Learning, News, Power Transformers, Predictive Maintenance, R&D, Research, Sustainability, Test engineering, Transformers Oil
All data is biased. But not all bias comes from data alone. Join a new perspective of research Whenever we talk about data, we talk about bias that may come with data-driven decisions. As soon as artificial intelligence (AI) enters this mix, the implications could be...
by Alessandro Capo | Apr 27, 2022 | AI, Article, Artificial Intelligence, Condition Monitoring, Data Analysis, Data Engineering, Enegy Transition, Energy, Energy Transition, Health Index, Machine Learning, Power Transformers, Predictive Maintenance, Product upgrade, Transformers Oil
While Ronin continues to support important operators in the power and energy sector, we did learn some meaningful lessons about the global electrical transformers maintenance market. Four Main Trends in Transformers Maintenance Market Strategic investments in...
by Alessandro Capo | Mar 2, 2022 | AI, Algorithms, Artificial Intelligence, Big Data, Condition Monitoring, Data Analysis, Data Engineering, Deep Learning, digital, Enegy Transition, Energy, Energy Transition, Health Index, Power Transformers, Predictive Maintenance, Sustainability
An interesting post on Linkedin has caught my attention in recent weeks. It was a contribution from CESI’s Innovation Manager who expressed a concept of enormous impact from my point of view: “High voltage engineering and technology do not scale: you...
by Alessandro Capo | 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...
by Alessandro Capo | 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...
by Sruti Chakraborty | Dec 1, 2021 | AI, Article, Artificial Intelligence, Condition Monitoring, digital, Enegy Transition, Health Index, Power Transformers, Predictive Maintenance
Transformer health indexing Transformer health indexing (THI) is slowly evolving from an arm-chair discussion in to a hot topic among various stakeholders thanks to CIGRE’s participation. A health index can support lifecycle estimation, risk evaluation, reliability...
