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 | 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 Seetalabs | Sep 1, 2021 | AI, News, Predictive Maintenance, Product upgrade
We are back from our summer break with global client stories on predictive maintenance of furnace transformer and step-up transformer fleet from Ronin-AI world. This time we are starting with our latest series of video clips on Our quick response to...
by Seetalabs | Apr 26, 2021 | Article, News, Product upgrade
Seetalabs’ Ronin gets two next-gen upgrades for improved asset management of transformer fleets. The latest “Trend Analysis” feature will help service engineers and managers for a quick review of their asset management decisions. This will also allow...
