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Transformer Monitoring


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...

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 a game-changer for substations. By creating virtual replicas of physical assets, digital twins bridge the gap between the physical and digital worlds, enabling enhanced operational efficiency and...

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...

Transformer Monitoring

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 components of transformers, are prone to various failure modes that can lead to operational inefficiencies or even catastrophic failures. This article explores common bushing failure modes, effective monitoring strategies, and case studies demonstrating real-world applications.


Common Failure Modes of Bushings

Oil-impregnated paper (OIP) bushings are among the most widely used...

Related Articles


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...

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...

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