by Sruti Chakraborty | May 24, 2023 | Condition Monitoring, Predictive Maintenance
Transformers are critical assets in industrial and electrical processes. According to the CIGRE transformer reliability survey, 1 out of every 200 transformers fails annually. Thus, there is a higher demand for online and continuous monitoring systems to prevent...
by Sruti Chakraborty | May 11, 2023 | Condition Monitoring, Predictive Maintenance
Often asset managers ponders if online and real-time condition monitoring is the key to digital transformation. Online condition monitoring is critical for a reliable asset management strategy. However, a comprehensive insight of the emerging trends and challenges in...
by Alessandro Capo | Feb 1, 2023 | Condition Monitoring, Energy, Transformers Oil
Global committement towards sustainability and environmental conservation as a part of Agenda 2030 is pushing for new stragies for a complete Life Cycle Analysis (LCA) including noise impact assessment of products and processes. Transformers, being vital assets in the...
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...
