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Transformer Software & Technologies


EFACEC case study

The EFACEC Group is leading the supply of integrated solutions and equipment in the market of power generation, transmission and distribution. The Group forms a complete value chain, from building turnkey projects to equipment manufacture, where integrated solutions are developed and designed in...

The Role of AI and Machine Learning in Predicting Transformer Faults

AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration trends to identify insulation degradation, detect anomalies, and prevent costly power transformer failures before they occur. Why AI Integration into Transformer Diagnostics...

Transformer Software & Technologies

Special Power: ‘Flexible Transformer’ Could Become The Grid’s New Superhero

The world is mobilizing to meet net-zero emission targets over the coming decades, and it seems that everywhere you look, countries are erecting wind turbines in the fields and off the coasts, switching from coal to natural gas, adding hydropower storage, and studying the next generation of nuclear reactors. One component common to all these efforts, though, remains mostly out of sight of the public, if not out of mind for electrical engineers working to...

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Transformers and the Power Grid

Transformers and the power grid: A look at the critical components of the electrical system BY THE ELECTRO-FEDERATION TRANSFORMER COMMITTEE* Electrical transformers are a vital ingredient to the power grid. Without these assets, electricity generation and transmission over long distances would not...

Digital Twins for Substations: Bridging the Physical and Digital Worlds

In the rapidly evolving landscape of power grid management, digital twin technology is emerging as a game-changer for substations. By creating virtual replicas of physical assets, digital twins bridge the gap between the physical and digital worlds, enabling enhanced operational efficiency and...


The Role of AI and Machine Learning in Predicting Transformer Faults

AI and Machine Learning can predict transformer faults by analyzing dissolved gas data, thermal patterns, and vibration trends to identify insulation degradation, detect anomalies, and prevent costly power transformer failures before they occur. Why AI Integration into Transformer Diagnostics...

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