Transformer Monitoring

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…
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Latest Electrical Industry News

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…
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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…
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Hydrogen Gas in Transformer Oil

Why event-based fault type identification is better than a sample-by-sample approach

Introduction Fault type identification is an important step in dissolved gas analysis (DGA). When a significant amount fault gas production is detected in a transformer,…
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DGA graphs

Advancements in Dissolved Gas Analysis: Accounting for Gas Loss

Dissolved gas analysis (DGA) in transformers is a very successful periodic screening method to identify transformers that may be having problems. It is a symptom-based…
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hydrocarbon gas emission

Advancements in Dissolved Gas Analysis: Data Quality

IntroductionThere is more to DGA interpretation than comparing the latest gas concentrations to limits in a table or plotting them in a triangle or pentagon…
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The Role of Transformer Oil Alternatives in Improving Safety and Environmental Sustainability

The Growing Need for Safer and Greener Transformer Oils Transformer oil plays a vital role in the operation and longevity of power transformers, providing insulation,…
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Advantages of Headspace Hydrogen Monitoring for Network Transformers

INTRODUCTION The utilization of online dissolved gas analysis monitoring has proven to be one of the most effective predictors of overall transformer health and condition.…
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Transformer Monitoring Articles

Sweep Frequency Response Analysis

Sweep Frequency Response Analysis

Sweep frequency response analysis: Reliable demagnetization of transformer cores BY MARKUS PÜTTER, MICHAEL RÄDLER, BORIS…
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Hydrogen Monitoring in the Transformer Headspace Compared to Traditional In Oil Monitoring

Hydrogen Monitoring in the Transformer Headspace Compared to Traditional In Oil Monitoring

The utilization of online dissolved gas analysis monitoring has proven to be one of the…
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Designing A Safe & Reliable Transformer Maintenance Program

Designing A Safe & Reliable Transformer Maintenance Program

The critical importance of power to every aspect of our world cannot be over-exaggerated. It…
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The importance of risk assessment and the role of Reliability-based DGA

The importance of risk assessment and the role of Reliability-based DGA

By Chuck Hoeppner, Delta-X Research It’s often said that you can’t manage what you can’t…
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Digital Twins for Substations: Bridging the Physical and Digital Worlds

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…
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