Advancements in Dissolved Gas Analysis: CO/CO2 Ratio

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.

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Advancements in Dissolved Gas Analysis: Investigating Failure Cases

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.

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Advanced Moisture Assessment for Transformers

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.

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Advancements in Dissolved Gas Analysis: NEI & Gassing Events

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.

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Advancements in Dissolved Gas Analysis: Accounting for Gas Loss

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.

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Progress in Transformer Dissolved-Gas Analysis

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.

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Major Utility Implements Innovative Approach to Transformer Health Assessment

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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Delta-X Research Named 2019 Company of the Year for Asset Management Solution Providers

Delta-X Research has been named the number one Asset Management Solution Provider of 2019 by Utilities Tech Outlook Magazine. This Company of the Year award is part of the Magazine’s annual compilation of the Top 10 Asset Management Solution Providers.

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Transformers Magazine July 2018: Interview With John Brett, Delta-X Research President & CEO

Get a great inside look at Delta-X Research, its history and what’s new, in this recent interview with our President & CEO, John Brett, in the July edition of Transformers Magazine.

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Six Common Data Issues in Transformer DGA

Power transformers are designed to pass large amounts of energy through with very high efficiency, so in normal operation and in the absence of unusual stress there should be no degradation of the oil and paper insulation inside the transformer. Insulation damage or degradation resulting from an abnormal condition (“fault”) is almost always detectable by the formation of characteristic gaseous byproducts in the transformer oil. The main concern of transformer dissolved-gas analysis (DGA) is to detect, quantify, and interpret the active production of fault-related gas when it occurs. The first step in the interpretation of DGA data is to check for problems with the integrity of the data. Issues with the data must be recognized and dealt with before any conclusions can be reached ...

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