Delta-X Research joined the National Rural Electric Cooperative Association's TechAdvantage 2026 conference in Orlando, Florida, exhibiting at Booth #842 alongside hundreds of technology providers serving the cooperative utility market. John Brett, President and CEO, and Thomas Anderson, Business Development Representative, represented the company across the event, speaking with cooperative engineers and asset managers about transformer fleet management, DGA methodology, and the practical value of Reliability-based DGA for organisations managing complex, geographically distributed infrastructure.
TechAdvantage and the Cooperative Utility Market
TechAdvantage is the premier annual technology conference for electric cooperative utilities, organised by the National Rural Electric Cooperative Association (NRECA) [1]. The event draws more than 3,000 attendees from electric cooperatives across the United States, organisations that collectively serve more than 42 million people in 47 states, operating approximately 2.5 million miles of distribution line and managing billions of dollars in transmission and distribution assets.
For technology companies serving the utility sector, TechAdvantage is a critical forum precisely because cooperative utilities have distinct asset management challenges compared to investor-owned utilities. Co-ops often operate smaller internal engineering teams with responsibility for larger geographic service territories. They manage transformer fleets that range from small distribution units through to large transmission transformers, and they frequently lack the in-house DGA expertise to interpret laboratory results reliably without tool support.
This combination of large transformer populations, constrained internal expertise, and the need for defensible, auditable maintenance decisions is exactly the environment where Reliability-based DGA methodology delivers its most tangible value.
Science-Backed Tools for Cooperative Fleets
The core message Delta-X Research brought to TechAdvantage 2026 was straightforward: the same methodology that serves as the analytical backbone for 15 of the top 20 US utilities is equally applicable and equally valuable for cooperative fleets of any size.
Transformer Oil Analyst™ (TOA) implements Reliability-based DGA (R-DGA), a methodology developed by Delta-X Research founder Jim Dukarm, Ph.D., that applies statistical analysis of a large, validated transformer population to compute individual unit risk metrics [2]. Rather than comparing a transformer's dissolved gas analysis results against fixed concentration thresholds (the approach codified in IEEE C57.104-2019 [3]), R-DGA computes:
- CSEV (Cumulative Severity): A population-normalised measure of accumulated fault energy, derived from the transformer's full DGA history. It indicates how unusual a transformer's cumulative gas profile is relative to all transformers in the R-DGA reference population.
- HF (Hazard Factor): A reliability-engineering metric drawn from failure rate analysis, indicating how the current CSEV level relates to the statistical probability of failure.
For cooperative asset managers, these metrics solve a specific operational problem. A co-op managing several hundred distribution and transmission transformers cannot apply intensive diagnostic scrutiny to every unit. CSEV and HF provide a ranked list, updated automatically each time new laboratory results are imported, that identifies which units need immediate attention and which are performing within acceptable parameters.
The outcome is twofold: fewer unnecessary maintenance interventions for transformers that conventional threshold methods would flag incorrectly, and earlier detection of units whose gas profiles are deteriorating in ways that fixed-threshold approaches would miss [2].
Monitor Watch for Critical Assets
A secondary focus at Booth #842 was TOA's Monitor Watch capability, which extends the TOA platform to process data from online DGA monitors. As cooperative utilities increase their deployment of online monitoring on critical transmission transformers, the challenge of integrating monitor data with periodic laboratory samples into a single coherent asset health view becomes pressing.
Monitor Watch addresses this by applying the same R-DGA analytical framework to online monitor data, after applying signal processing to remove noise inherent in continuous sensor readings. The result is a system of record that treats laboratory samples and online monitor data consistently, eliminating the fragmented picture that arises when two separate analytical frameworks are applied to the same transformer.
For co-ops with mixed fleets, some units monitored continuously and most sampled periodically, the ability to manage both data streams within TOA under a single R-DGA methodology simplifies the analytical workflow and improves the reliability of the risk picture at the fleet level.
NRECA Youth Leadership Council
Among the highlights of TechAdvantage 2026 was a visit to Booth #842 from the NRECA Youth Leadership Council, a programme that develops the next generation of cooperative advocates and leaders from within the co-op membership. The visit was a genuine pleasure: conversations with early-career cooperative professionals who are thinking seriously about how technology can help co-ops manage their infrastructure more effectively.
The energy transition places cooperative utilities under particular pressure. As distributed energy resources, EV charging load, and electrification demands reshape the grid, transformer reliability becomes more critical, not less. The engineers and leaders being developed through programmes like the NRECA Youth Leadership Council will inherit that challenge. Seeing their engagement with transformer asset management technology was a positive signal.
Continuing the Conversation
If you were at TechAdvantage 2026 and stopped by Booth #842, thank you. If you would like to continue the conversation about how TOA or Monitor Watch could support your co-op's transformer programme, reach out to Thomas Anderson via LinkedIn or contact us directly through the contact page.
For further reading on Reliability-based DGA methodology and its application to fleet management, visit our Science page and Learn page. For product details, the TOA page and Monitor Watch page have full capability overviews.
References & Further Reading
- [1]NRECA, “TechAdvantage Conference — Cooperative Technology Forum” National Rural Electric Cooperative Association, 2026.
- [2]Dukarm, J.J., Draper, D., Arakelian, V.K., “Improving the Reliability of Dissolved Gas Analysis” IEEE Electrical Insulation Magazine, 2012.
- [3]IEEE C57.104-2019, “IEEE Guide for the Interpretation of Gases Generated in Mineral Oil-Immersed Transformers” IEEE, 2019.
- [4]Dukarm, J.J., “Transformer Oil Analysis Report Interpretation by Statistical Analysis” Minutes of the 60th Annual International Conference of Doble Clients, 1993.
- [5]IEC 60599:2022, “Mineral oil-filled electrical equipment in service — Guidance on the interpretation of dissolved and free gases analysis” IEC, 2022.

Delta-X Research develops Transformer Oil Analyst™ (TOA), the market-leading tool for managing and interpreting insulating fluid test data for high-voltage apparatus. Founded in 1992 and based in Victoria, BC, Canada, the team applies Reliability-based DGA methodology to help utilities worldwide assess transformer health and prioritise fleet maintenance decisions.
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Delta-X Research at the IEEE Rural Electric Power Conference 2026
Sean Casey is representing Delta-X Research at the IEEE Rural Electric Power Conference, connecting with rural and municipal utility engineers on how Reliability-based DGA helps smaller utility operations manage transformer health analytics, identify early fault indicators, and prioritise fleet maintenance with limited internal resources.

