Learning

In this short article from Electricity Today, Drs. Draper and Dukarm describe what modern statistics can say about transformer risk assessment, once steps have been taken to improve DGA interpretation (as outlined in previous articles).

Data quality is essential for effective dissolved gas analysis. Trend evaluation and accurate assessment of short-term changes require accuracy and low measurement variability of gas data – so data quality problems must be recognized and dealt with before any DGA interpretation is attempted. Learn more about common data quality issues in this short article from Electricity Today.

When conducting dissolved gas analysis, the detection of carbon oxide gases indicates a deterioration of paper insulation within the transformer. Find out more about how the ratio of these gasses can be used to help assess possible issues within the transformer in this short article from Electricity Today Magazine.

In this article, Drs. Draper and Dukarm discuss three case histories that illustrate the usefulness of recent innovations in transformer DGA, especially when there is gas loss.

Moisture assessment is a complex topic for when it comes to high-voltage transformers. It’s difficult to interpret the water content of oil or paper insulation by looking at individual dissolved water measurements or time-series data, and increases in water solubility due to aging of oil make it risky to rely on relative saturation calculated from dissolved-water measurements based on the assumption that the oil is like new. Check out this article by Dr. Oleg Roizman of Intellpower and our own Dr. Jim Dukarm to find out how a thermodynamic approach to assessment of water in transformers can solve these problems.

Normalized energy intensity (NEI), a fault energy index based on the standard heats of formation of fault gases, provides a useful way to look at fault severity. Check out this short article by Dr. Zachary Draper and Dr. Jim Dukarm from Electricity Today Magazine on how NEI can be used to assess and track faults for better transformer maintenance.

Gas loss within a transformer can hide serious problems for dissolved gas analysis results. Check out this short article by Dr. Zachary Draper and Dr. Jim Dukarm from the High Voltage Electrical Testing special edition of Electricity Today Magazine on how gas loss can be taken into consideration in dissolved gas analysis interpretation to improve overall results.

Join Dr. Jim Dukarm as he describes how physical chemistry and advanced statistics are breathing new life into transformer DGA. This article describes important advances like the use of fault energy indices and reliability statistics, and also provides an example that shows how these advances can improve fault detection and provide new risk assessment information.

Find out how a major US utility is already using Reliability-based DGA to help identify and focus on at-risk transformers so they can implement an effective strategy to maintain and replace them as needed.  

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