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

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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Protection of Electrical Power Transformers

INTRODUCTIONIn most large electrical systems, generators and power transformers are the two most expensive pieces of equipment. In addition to the capital cost of purchase,…
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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 measure. But how does one manage risk in the mission-critical,…
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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…
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magazine_may_june_2023_article_1

Case Study: Rapid Changes in Bushing Health

IntroductionContinuous online monitoring of bushings provides real-time information which can result in the early detection of a possible failure. Challenge: A Major AlarmA prominent U.S.…
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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…
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Grounding Transformers Explained

By R. W. Hurst, Editor Grounding transformers are used to provide a path to ground for unbalanced load current and for fault currents on systems…
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Transformer Monitoring Articles

Distribution Transformer Loss Costs

Distribution Transformer Loss Costs

A car owner must make some important decisions when purchasing a new vehicle—particularly if he…
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Why event-based fault type identification is better than a sample-by-sample approach

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…
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The Truth About Cast-Resin Transformers

The Truth About Cast-Resin Transformers

Debunking the myths surrounding aluminum usage BY SCOTT MAY, VIJAI NARAYANAN, ANDREW LAWLESS, Siemens Much…
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TRANSFORMER INRUSH

TRANSFORMER INRUSH

ABSTRACTHere we discuss the phenomenon of transformer inrush; what it is and its significance to…
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Renewable Insulation Liquids for Transformers

Renewable Insulation Liquids for Transformers

Turning electrical assets into green machines BY RONNY FRITSCHE & GEORG PUKEL, Siemens AG Transformers…
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