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Transformer Software & Technologies




Transformer Software & Technologies

Navigating the Transformer Supply Crunch: Strategies for Utilities Amidst Global Shortages

The Growing Transformer Supply Crisis

The global transformer supply chain is facing unprecedented challenges, with utilities worldwide struggling to procure essential equipment due to material shortages, manufacturing delays, and logistical constraints. Transformers are the backbone of electrical transmission and distribution networks, and their scarcity poses significant risks to grid reliability, infrastructure expansion, and system resilience. As demand continues to outpace supply, utilities must adopt strategic approaches to mitigate risks, ensure the timely acquisition of transformers,...

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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...

Mirus International ULLTRA(TM) graph

Optimal Transformer Efficiency Using Weighted Average

In order to improve the efficiency of electrical distribution in commercial buildings, the US Department of Energy (DOE) introduced regulations with more stringent minimums on transformer efficiencies in January 2016. This was covered under the Code of Federal Regulations 10 CFR Part 431.192 and...

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...


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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