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Transformer Software & Technologies




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...

Transformer Software & Technologies

Distribution Transformer DGA – The Future of Monitoring Distribution Systems

By Leon White and Traci Hopkins, H2scan Corporation

As distributed generation, electric vehicle load, and requirements for increased electricity reliability provide real-world challenges for electric utilities, asset managers must innovate to ensure their infrastructure is in good condition to deliver safe, reliable, and uninterrupted power to customers.

Distribution systems have been designed to transfer power from large remote generators to customers via radial distribution networks.  This paper will discuss the progress that is being made...

Related Articles


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...

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...

Purchasing Reconditioned Electrical Equipment

Debunking the myths about tested and refurbished equipment BY RISHI SUDAN, RS Electrical Supply Extending the lifecycle of capital equipment such as 15-kilovolt circuit breakers, switchgear, and transformers through testing and reconditioning saves time and money by cutting down on new equipment...


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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