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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 prevent costly power transformer failures before they occur. Why AI Integration into Transformer Diagnostics...

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...

Transformer Monitoring

Advanced Sensor Technologies for Intelligent Transformers and Substations

In the evolving landscape of power grid management, integrating advanced sensor technologies in intelligent transformers and substations is revolutionizing monitoring and control. These sensors provide real-time data collection and analysis, significantly improving asset management and fault detection. Modern sensors enhance substation automation by enabling real-time monitoring, fault detection, and predictive control.

This article delves into the types of advanced sensors used in transformers and substations, the benefits of real-time data collection and analysis, the integration...

Related Articles


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 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...

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...

Normalized Energy Intensity chart

Advancements in Dissolved Gas Analysis: NEI & Gassing Events

One of the most important steps when looking at DGA data is to decide whether the data support the existence of a fault that is actively breaking down the insulation before you try to use a triangle, pentagon, or gas ratio method to identify a fault type. Otherwise, you are diagnosing random...


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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