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Transformer Monitoring




Smart Transformers: Enhancing Grid Efficiency and Reliability

The evolving demands of modern power grids necessitate the adoption of advanced technologies that can provide enhanced efficiency, reliability, and flexibility. Smart transformers are at the forefront of this technological revolution, offering a range of capabilities that significantly improve the...

Transformer Monitoring

hydrocarbon gas emission

Advancements in Dissolved Gas Analysis: Data Quality

Introduction
There 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 recent DGA results.
Trend evaluation and accurate assessment of short-term changes require accuracy and low measurement variability of gas data. Data quality problems must be...

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Smart Transformers: Enhancing Grid Efficiency and Reliability

The evolving demands of modern power grids necessitate the adoption of advanced technologies that can provide enhanced efficiency, reliability, and flexibility. Smart transformers are at the forefront of this technological revolution, offering a range of capabilities that significantly improve the...

Conductive Glues

Electrically conductive pastes in high-voltage transformers BY LISA RINALDO, Prohm-tect As with other components of North American infrastructure such as wastewater and stormwater systems, much of the continent’s electrical grid faces long-term problems. Aging facilities, rising energy...


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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