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 | Feb 21, 2021 | Algorithms, Artificial Intelligence, Business, Condition Monitoring, Data Analysis, Health Index, Machine Learning, Moisture Measurements, News, Power Transformers, Predictive Maintenance, Transformers Oil
We want to increase ways to stay in touch with our growing friendly bubble of clients around the world. After on demand webinars and “coffee chat corner”, we are finally releasing some useful tutorials to support your first steps inside our world. ...
by Seetalabs | Jul 16, 2020 | AI, Artificial Intelligence, Big Data, Condition Monitoring, Energy, Health Index, lifehack, LifeHacking, Machine Learning, Moisture Measurements, News, Power Transformers, Predictive Maintenance, R&D, Research, Test engineering, Transformers Oil
SeetaLabs world is welcoming the month of July with Coffee Corner on youtube As promised, something new comes out again: SeetaLabs Coffee Corner S1 E1: a smart place to talk...
by Seetalabs | Aug 24, 2019 | Condition Monitoring, Moisture Measurements, Power Transformers, Transformers Oil
Moisture in transformers Moisture management in operating transformers is quite complex. It may exist internally or externally in transformers. Despite drying, most of the moisture may be present in the paper/pressboard insulation of transformers. Excess moisture in...
