Electricity Forum Intelligent Power Today Magazine Arc Flash Clothing

Transformer Monitoring


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...

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...

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. Monitoring can vary greatly from nine gas to single gas systems to best suit the customers application when considering...

Transformer Monitoring

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 assessment of health, rather than a condition-based assessment. That is because the gases themselves do not cause failure, but are just by-products of deteriorating insulation caused by abnormalities such as
hot spots or electrical discharges. The abnormalities are what might fail the transformer. If the transformer loses fault gases, the...

Related Articles


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. Monitoring can vary greatly from nine gas to single gas systems to best suit the customers application when considering...

Designing A Safe & Reliable Transformer Maintenance Program

The critical importance of power to every aspect of our world cannot be over-exaggerated. It must be generated and distributed effectively to end users, and any disruption in that process means loss of operations, money, and in extreme cases, life. Therefore, the reliability of power creation and...

The Truth About Cast-Resin Transformers

Debunking the myths surrounding aluminum usage BY SCOTT MAY, VIJAI NARAYANAN, ANDREW LAWLESS, Siemens Much has been written about the use of aluminum versus copper for transformer conductors within the electrical industry. Aluminum conductors have been used successfully in the electrical industry...

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 to identify the apparent fault type. We have found that the whole DGA history of a transformer must be considered when interpreting its most...


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...

Page 1 of 7