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Transformer Monitoring


Advancements in Dissolved Gas Analysis: Risk Assessment

In general, the purpose of periodic screening with DGA for power transformers is risk assessment. Is any transformer likely to fail in service? If so, how severe is the problem? Previous articles in this series have described ways to improve DGA interpretation. In this article we provide a glimpse...

Sweep Frequency Response Analysis

Sweep frequency response analysis: Reliable demagnetization of transformer cores BY MARKUS PÜTTER, MICHAEL RÄDLER, BORIS UNTERER, OMICRON electronics GmbH Whenever a power or distribution transformer is isolated from the power system, it is very probable that residual magnetism remains in the...

Using Transformer Monitoring Via the IoT to Combat Electricity Theft

According to the annual Emerging Markets Smart Grid: Outlook 2015 study by the Northeast Group, LLC, the world loses US$89.3 billion annually to electricity theft, with the top 50 emerging market countries losing $58.7 billion annually compared with $30.6bn in the rest of the...

Transformer Monitoring

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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 agreement allows for the integration of new energy generation sources to supply a large-scale Amazon data center facility at the Susquehanna nuclear plant in Pennsylvania.

The Growing Need for Data Centers and Renewable Energy

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Related Articles


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Dielectric Voltage Testing – Standard Methods

There are two standard methods from ASTM International: D877, Standard Test Method for Dielectric Breakdown Voltage of Insulating Liquids Using Disk Electrodes, and D1816, Standard Test Method for Dielectric Breakdown Voltage of Insulating Oils of Petroleum Origin Using VDE Electrodes. VDE stands...

How to Improve Transformer Protection

Using symmetrical components for fault discrimination in differential protection BY IMRAN RIZVI, ABB Inc. Classical differential protection schemes are subject to ghost differential currents due to current transformer (CT) saturation and magnetization currents. Several methods are used to counter...


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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