Power Transformers

Transformer Testing & Maintenance

Advancements in Dissolved Gas Analysis: Investigating Failure Cases

IntroductionDissolved gas analysis (DGA) provides the early warning radar view of a transformer ﬂeet with a non-intrusive screening process for early identiﬁcation of problematic transformers. Suspicious transformers can be subjected to more invasive and costly physical testing to determine the...

Dielectric Fluids

The End of the Road for Transmission Incentives

In a significant shift, the Federal Energy Regulatory Commission (FERC) has decided to abandon its transmission incentives policy, particularly the construction work in progress (CWIP) incentives. This decision marks a pivotal change in how transmission projects are financed and regulated,...

Utility Transformers

Pennsylvania’s Yaw Bill

In a significant move for Pennsylvania’s energy sector, State Senator Gene Yaw has introduced a transformative piece of legislation aimed at modernizing the state's approach to power plant development and capacity management. The bill, which has been the subject of considerable discussion,...

Transformer Protection

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...

Electrical Transformers

Industry and Education

As we see the electrical industry advance it is obvious the demographics will be challenged. The infrastructure investment needs of the electrical and renewable energy grid will reach the $billions$ over the next 15-20 years with expensive, complex and specialized training and education needs. ...

Transformer Monitoring

Distribution Transformer Loss Costs

A car owner must make some important decisions when purchasing a new vehicle—particularly if he or she has not bought one in decades. The features of the hundreds of 2015 models available can seem overwhelming. The budget-conscious owner, considering factors such as fuel efficiency,...

Home Transformation Power Transformers

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 Matters

Applies machine learning to transformer data for predictive fault detection.
Analyzes DGA, temperature, and vibration trends for early anomaly alerts.
Enhances reliability through automated, data-driven maintenance decisions.

The Shift Toward Predictive Intelligence

Artificial intelligence (AI)...