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Transformer Monitoring



A New Approach to High Voltage Insulation System Testing

Speed is the driving force of successful fault prevention. Early detection of insulation deterioration is key for avoiding asset failure, associated unplanned outages, and physical damage to infrastructure. The traditional testing approaches most teams rely on inhibit quick diagnosis of insulation...

Conductive Glues

Electrically conductive pastes in high-voltage transformers BY LISA RINALDO, Prohm-tect As with other components of North American infrastructure such as wastewater and stormwater systems, much of the continent’s electrical grid faces long-term problems. Aging facilities, rising energy...

Transformer Monitoring

The Truth About Cast-Resin Transformers

Debunking the myths surrounding aluminum usage

BY SCOTT MAY, VIJAI NARAYANAN, ANDREW LAWLESS, Siemens

Much has been written about the use of aluminum versus copper for transformer conductors within the electrical industry. Aluminum conductors have been used successfully in the electrical industry for more than 100 years; unfortunately, misconceptions about their applications still exist. In Europe, aluminum has been used as the standard material for cast-resin transformer windings for many decades.

However, following the...

Related Articles


Conductive Glues

Electrically conductive pastes in high-voltage transformers BY LISA RINALDO, Prohm-tect As with other components of North American infrastructure such as wastewater and stormwater systems, much of the continent’s electrical grid faces long-term problems. Aging facilities, rising energy...

Renewable Insulation Liquids for Transformers

Turning electrical assets into green machines BY RONNY FRITSCHE & GEORG PUKEL, Siemens AG Transformers are one of the most important components of energy grid systems. They enable the efficient transport of electric energy from the location where the energy is generated to the location where...


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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