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Corné Dames | Why trends define the future of reliability?

Corné Dames is the Managing Director of Independent Transformer Consultants (ITC). She has previously worked as a laboratory manager performing transformer oil analysis and diagnostics. Corné is actively working with customers to...

Stefano Talassi | What I learnt as design engineer?

by Seetalabs | 06-02-22 | Deepbrains

Stefano Talassi holds a bachelor’s degree in Electrical Engineering from the Politecnico of Milan and an executive MBA from Bocconi University, Italy. He has over 20 years of experience in the field of design, project management, testing,...

My Transformer’s Health Index doesn’t bite!

by Alessandro Capo | 03-02-22 | 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...

Salespeople don’t like black swans

by Alessandro Capo | 25-01-22 | AI, Article, Artificial Intelligence, Big Data, Business, Careers, digital, Enegy Transition, Energy, Energy Transition, lifehack, LifeHacking, News

Sometimtes external events can bring unexpected changes in our professional lives. These "black swans" represent the hubs where a person's professional worth is valued. I think that for an entire generation of b2b sales in the energy and environment sector, the...

Does digitization means only collecting data online?

by Alessandro Capo | 10-01-22 | 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...

Improved outage planning with health indexing models

by Sruti Chakraborty | 01-12-21 | AI, Article, Artificial Intelligence, Condition Monitoring, digital, Enegy Transition, Health Index, Power Transformers, Predictive Maintenance

Transformer health indexingTransformer 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...

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

by Seetalabs | 25-11-21 | AI, Artificial Intelligence, Condition Monitoring, Data Analysis, Data Engineering, Power Transformers, Predictive Maintenance

A utility experiences recurring faults in 100 MVA, 100/110 kV generator step-Up (GSU) transformer manufactured in the year 1980. The transformer often experiences recurring gas evolution, particularly hydrogen, ethylene, and acetylene. The utility recognizes it as a...