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Transformer Software & Technologies


Purchasing Reconditioned Electrical Equipment

Debunking the myths about tested and refurbished equipment BY RISHI SUDAN, RS Electrical Supply Extending the lifecycle of capital equipment such as 15-kilovolt circuit breakers, switchgear, and transformers through testing and reconditioning saves time and money by cutting down on new equipment...


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,...

Related Articles


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...

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...

Fig.1: Fundamental model with different layers of conductivities (S/m) assigned along with color codes

Computer Simulation of Grounding Applications

Computer simulation of grounding applications are important for power generation and distribution. INTEGRATED’s proprietary Boundary Element Method (BEM) solver simulates various types of grounding scenarios very efficiently, especially in the HVDC domain of power/energy industries and in...


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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