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Transformer Software & Technologies




Transient Analysis of Power Transformers Using Finite Element Method

A transformer relies on electromagnetic induction through coils to transfer electric energy between two or more circuits. Varying current in the transformer’s primary winding creates varying magnetic flux in the core, which produces varying electromotive force (EMF) or voltage in the...

Transformer Software & Technologies

MITIGATING TRANSFORMER FAILURES: ADVANCED MONITORING AND MAINTENANCE STRATEGIES

Power transformers are critical assets in electrical transmission and distribution networks. Their failure can lead to widespread outages, costly downtime, and potential safety hazards. As transformers age and operate under varying electrical and environmental stresses, degradation becomes inevitable. However, through advanced monitoring techniques like Dissolved Gas Analysis (DGA) and Frequency Response Analysis (FRA), utilities can proactively identify early signs of failure, enabling preventive maintenance and extending transformer service life.

Dissolved Gas Analysis (DGA): A Window...

Related Articles


Transient Analysis of Power Transformers Using Finite Element Method

A transformer relies on electromagnetic induction through coils to transfer electric energy between two or more circuits. Varying current in the transformer’s primary winding creates varying magnetic flux in the core, which produces varying electromotive force (EMF) or voltage in the...

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...

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...

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FERC Approves Interconnection for Talen Energy, Amazon Data Center

In a significant move that underscores the growing demand for reliable and sustainable energy to power the expanding digital infrastructure, the Federal Energy Regulatory Commission (FERC) has approved an interconnection agreement between Talen Energy, Amazon Web Services (AWS), and Exelon. This...


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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