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Transformer Software & Technologies


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...


Transformer Software & Technologies

Understanding Bushing Failure Modes and Monitoring for Optimal Transformer Health

Monitoring the health of bushings is vital for ensuring the reliability of transformers, especially in high-stakes environments like power grids and industrial facilities. Bushings, critical components of transformers, are prone to various failure modes that can lead to operational inefficiencies or even catastrophic failures. This article explores common bushing failure modes, effective monitoring strategies, and case studies demonstrating real-world applications.


Common Failure Modes of Bushings

Oil-impregnated paper (OIP) bushings are among the most widely used...

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Smart Transformers

Maximizing continuous and reliable power output, extending the life of a power transformer, and reducing maintenance costs are just a few of the benefits motivating electric utilities to move toward buying a “smart transformer”, electrical equipment integrated with Smart Grid-enabling software...

FERC Complaint Targets Duke, PJM Transmission Planning

A coalition of large energy consumers and ratepayer advocates has filed a complaint with the Federal Energy Regulatory Commission (FERC), urging the agency to prohibit transmission owners from independently planning "local" transmission projects exceeding 100 kilovolts (kV). The coalition argues...

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...


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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