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Transformer Monitoring



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. utility was looking for a way to improve system reliability for their 138kV assets. They researched and...

Transformer Monitoring

hydrocarbon gas emission

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 of what modern statistics can say about risk assessment, after the previous steps are performed.
Conventional practice with IEEE or IEC guidelines is to compare gas...

Related Articles


The Distribution Transformer - Critical Power System Component

By R.W. Hurst, Editor A distribution transformer is a critical component of the electrical power system, used to reduce the voltage of electrical energy for electric power distribution to end-users. It plays a vital role in voltage regulation and load management, ensuring the efficient and reliable...

A New Approach to High Voltage Insulation System Testing

Speed is the driving force of successful fault prevention. Early detection of insulation deterioration is key for avoiding asset failure, associated unplanned outages, and physical damage to infrastructure. The traditional testing approaches most teams rely on inhibit quick diagnosis of insulation...

substation transformer

TRANSFORMER INRUSH

ABSTRACTHere we discuss the phenomenon of transformer inrush; what it is and its significance to transformer protection design. INTRODUCTIONA couple of years ago in this Transformer Special Edition, we wrote an article that covered the most used transformer protection schemes. As was pointed out...


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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