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Transformer Monitoring


Sweep Frequency Response Analysis

Sweep frequency response analysis: Reliable demagnetization of transformer cores BY MARKUS PÜTTER, MICHAEL RÄDLER, BORIS UNTERER, OMICRON electronics GmbH Whenever a power or distribution transformer is isolated from the power system, it is very probable that residual magnetism remains in the...

FERC Complaint Targets Duke, PJM Transmission Planning

A coalition of large energy consumers and ratepayer advocates has filed a complaint with the Federal Energy Regulatory Commission (FERC), urging the agency to prohibit transmission owners from independently planning "local" transmission projects exceeding 100 kilovolts (kV). The coalition argues...

Transformer Monitoring

Distribution Transformer DGA – The Future of Monitoring Distribution Systems

By Leon White and Traci Hopkins, H2scan Corporation

As distributed generation, electric vehicle load, and requirements for increased electricity reliability provide real-world challenges for electric utilities, asset managers must innovate to ensure their infrastructure is in good condition to deliver safe, reliable, and uninterrupted power to customers.

Distribution systems have been designed to transfer power from large remote generators to customers via radial distribution networks.  This paper will discuss the progress that is being made...

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...

Protection of Electrical Power Transformers

INTRODUCTIONIn most large electrical systems, generators and power transformers are the two most expensive pieces of equipment. In addition to the capital cost of purchase, these two key devices are also the most critical to continuous and reliable operation of the system.Consider, for example, 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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