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Transformer Software & Technologies


Smart Transformers

Maximizing continuous and reliable power output, extending the life of a power transformer, and reducing maintenance costs are just a few of the benefits motivating electric utilities to move toward buying a “smart transformer”, electrical equipment integrated with Smart Grid-enabling software...


Transformer Software & Technologies

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


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...

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...


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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