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. Learn more…
Delta-X Research Launches Innovative, Reliability-based Dissolved Gas Analysis
Delta-X Research is pleased to announce the full release of its innovative technology called Reliability-based Dissolved Gas Analysis, a new method for interpreting dissolved gas analysis test data, as part of its market leading software, TOA4.
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.
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.
Reliability-based Dissolved Gas Analysis (RDGA) Saves Transformers and Wins Award
On Friday, June 15, 2018, the Victoria Innovation, Advanced Technology and Entrepreneurship Council (VIATEC) presented 16 awards to honour local technology firms that contribute to Victoria’s booming technology sector. Among the 16 winners was Delta-X Research, which won for Innovative Excellence for Software or Service.
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 ...
Identifying Transformer Faults with DGA
Imagine trying to explain power transformer fault detection to your child’s second grade class or to a CFO who does not have a technology background. The conversation might start like this: “like a doctor takes a blood sample from your body to detect an illness, an engineer may take an oil sample from a transformer to detect a problem or fault inside the transformer.” Okay, that was the easy part! Now how do you explain what to do with that oil sample and why it is important to the utility? DGA and Fault-Related Gases Dissolved gas analysis (DGA) is used to identify faulty transformers and to monitor transformers that are under stress or behaving abnormally. The key to trouble detection is understanding that abnormal heat and electrical discharges cause the production of fault-related gas ...
Transformer Reliability and Dissolved-Gas Analysis
Authors: J.J. Dukarm and M. Duval 2016 CIGRE Canada Conference October 17, 2016 Dissolved gas analysis (DGA) is widely used for transformer condition screening and assessment. Conventional DGA practice is to employ statistically derived limits for combustible gas concentrations and their increments or rates of increase for the purpose of classifying a transformer’s condition as acceptable, suspicious, or abnormal. The DGA condition assessment, in the form of numeric “condition codes,” is sometimes used as part of a transformer health index for prioritizing of testing and maintenance or for asset management functions such as replacement planning. The basis of this condition classification scheme is the seemingly reasonable assumption that higher fault gas levels must repre ...
MinMax Connects With Delta-X Research
MinMax Technologies and Delta-X Research announce the integration of their respective SMART and TOA4 Online software solutions. SMART (Substation Maintenance & Asset Reliability Tracking) now receives the most current and accurate assessment of transformer health based on insulating fluid test results from TOA4 Online. With the addition of TOA4 Online’s advanced diagnoses, SMART continues to pave the way to simplifying and enhancing the implementation, record keeping and compliance reporting of core maintenance activities for utilities. Read the full press release – click here