Technical expertise, conference reports, and industry developments from the Delta-X Research team.
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.
Delta-X Research co-hosts the TransformerMonitoring.com Hospitality Suite at the 2026 International Conference of Doble Clients, alongside DNV, Kinectrics, and Systems With Intelligence. Three evenings of informal conversation for transformer professionals, March 30–April 1 at the Deco Room, Level 3.
Thomas Anderson is representing Delta-X Research at the Northwest Public Power Association's Engineering & Operations Conference and Trade Show in Portland, Oregon — Booth #105. Meet the team to discuss how TOA and Monitor Watch help Pacific Northwest utilities optimise transformer maintenance and replacement decisions.
Founded in Victoria, BC in 1992, Delta-X Research has spent more than 30 years advancing the science and practice of dissolved gas analysis for transformer asset management. This article traces the development of R-DGA methodology, the TOA software platform, Monitor Watch, and the role of peer-reviewed research in grounding a commercial analytical tool in validated science.
Delta-X Research joined the 2026 NRECA TechAdvantage conference in Orlando, where John Brett and Thomas Anderson met with cooperative utility engineers at Booth #842 to discuss how Reliability-based DGA helps co-ops catch transformer problems early and reduce false alarms.
Delta-X Research's Kayla Whitesel presented at Energy Technology Live / the Distributed Energy Show in the UK, explaining why Reliability-based DGA provides a more scientifically rigorous foundation for transformer maintenance decisions than conventional interpretation methods.
Kayla Whitesel attended PowerTest 2026, NETA's annual electrical testing conference, connecting with the electrical testing and power systems community on DGA methodology, transformer condition assessment, and how Reliability-based DGA fits within broader condition-based maintenance programmes.
Three major analytical approaches dominate transformer DGA interpretation: Rogers Ratios, IEC 60599 key gas ratios, and Reliability-based DGA. This article explains the design purpose, theoretical basis, and known limitations of each method, and how they work together in a comprehensive diagnostic framework.
The age profile of the North American power transformer fleet creates mounting pressure on asset managers. This article examines the statistical reality of fleet ageing, the structural replacement capacity constraint, and why DGA-based condition monitoring using R-DGA methodology is now the essential tool for managing deteriorating infrastructure safely.
Delta-X Research reflects on 2025 — a year of intense industry engagement, online monitoring adoption reaching operational maturity, accelerating interest in alternative fluid DGA interpretation, and the ongoing transformation of transformer fleet management under infrastructure ageing pressure.
Acetylene is the DGA indicator most specific to high-energy electrical discharge in transformers. Its presence demands a structured, context-aware response — this article explains the physical basis for acetylene generation, the factors that determine appropriate response urgency, and the systematic diagnostic steps that should follow an acetylene finding.
Transformer health indices synthesise multiple condition indicators into a single score for fleet comparison. This article explains how health indices work, how the DGA component should be constructed for maximum accuracy, the structural limitations of aggregated scoring, and how detailed R-DGA analysis provides the diagnostic depth that health indices cannot.
Delta-X Research participated in CIGRE Canada 2025 (September 29 – October 2), engaging Canadian power system professionals on fleet-level DGA risk assessment, the particular challenges of transformer operation in Canada's remote and climate-extreme environments, and CIGRE's international guidance on advanced DGA interpretation.
Effective transformer maintenance investment requires connecting DGA condition data to financial and operational risk. This article presents a structured cost-risk framework that combines R-DGA severity metrics with consequence assessment to prioritise maintenance spending where it reduces the greatest expected loss.
Partial discharge is a significant precursor to insulation failure in high-voltage transformers and one of the most difficult fault types to detect reliably with DGA. This article covers the physical mechanism, gas signatures, the sensitivity limitations of threshold-based detection, and how rate-of-change monitoring improves early PD identification.
Natural ester and synthetic ester fluids are increasingly used in transformers for fire safety and environmental advantages. Their gas generation characteristics differ materially from mineral oil, making mineral oil DGA thresholds systematically inappropriate. This article explains the physical basis for these differences and what fluid-specific interpretation requires.
Transformer Oil Analyst's analytical power depends on the quality and completeness of the data behind it. This guide covers practical database setup, sample data entry discipline, and fleet analysis workflows that unlock the most actionable R-DGA insights from your DGA programme.
Carbon monoxide and carbon dioxide in transformer DGA results are often treated as secondary data. In practice, they provide critical information about the condition of the cellulose paper insulation — the component whose irreversible degradation most directly determines remaining transformer life.
March 2025 brought two of the most technically focused events in transformer asset management: TechCon NA (Booth #2514, March 3–5) and the International Conference of Doble Clients (March 9–14). Delta-X Research participated in both, discussing fleet-level DGA risk management and online monitoring integration.
Delta-X Research exhibited at the Life of Transformer Conference 2025 at Booth #400, February 3–7. Fleet prioritisation with TOA's CSEV and Hazard Factor metrics and online monitoring integration with Monitor Watch were the focus of conversations with utility engineers and asset managers.
On January 15, 2025, Delta-X Research hosted a webinar on online DGA monitoring with Monitor Watch. This post covers the core technical content — why continuous monitoring adds value over periodic sampling, how Monitor Watch applies R-DGA methodology to sensor data, and answers to the most common questions from attendees.
Year-end is the right time to review your DGA programme, identify coverage gaps, assess your analytical approach, and plan improvements for the coming year. This checklist covers the questions that most commonly reveal high-value opportunities in transformer DGA programmes.
CIGRE Technical Brochures published by Study Committee A2 provide internationally peer-reviewed DGA guidance that goes substantially beyond what regional standards like IEEE C57.104 and IEC 60599 cover. This article surveys the key publications — TB 771, TB 812, TB 630, TB 445, TB 443, and TB 296 — and explains what each contributes to DGA practice.
Even the best DGA analytical software cannot compensate for poor-quality input data. Sampling errors and laboratory variability introduce uncertainty that distorts results and can lead to incorrect maintenance decisions. This article covers the documented sources of DGA data quality degradation and the practices that prevent them.
The promise of DGA monitoring is early warning before transformer failure. This article examines what the published evidence shows about DGA's predictive capability, how fault development timescales affect detection lead time by fault type, and how population-based R-DGA methodology improves on threshold approaches for early fault identification.
Delta-X Research founder Jim Dukarm, Ph.D. participated in CIGRE Study Committee A2 activities and presented a poster on Reliability-based DGA methodology at the 6th International Conference on Transformer Research and Asset Management (ICTRAM) in summer 2024.
DGA is the most widely used oil condition test for transformer condition monitoring, but it is one part of a broader oil testing suite. This article explains what each test reveals about insulation system health, how the tests interact diagnostically, and how to integrate the full picture into maintenance decisions.
Delta-X Research was a Break Sponsor at the Spring 2024 IEEE Transformers Committee meeting — supporting the standards body responsible for IEEE C57.104 and related guidance that defines DGA interpretation practice across North America.
Delta-X Research exhibited at TechCon NA 2024 at Booth #2409, demonstrating Transformer Oil Analyst and Monitor Watch to electrical power testing professionals and discussing why Reliability-based DGA provides a more actionable risk picture than conventional threshold methods.
Delta-X Research attended NRECA TechAdvantage 2024 in San Antonio and offered cooperative utility attendees a complimentary Reliability-based DGA fleet assessment — demonstrating how TOA's CSEV and Hazard Factor metrics reveal fleet-level risk insights invisible to conventional threshold methods.
Delta-X Research attended DISTRIBUTECH 2024, where the accelerating energy transition placed transformer asset intelligence at the centre of grid modernisation conversations. Here is how R-DGA methodology addresses the new reliability demands that DER integration and electrification place on ageing transformer fleets.
Delta-X Research attended the Life of Transformer conference in February 2024, engaging utility engineers and asset managers on fleet-level DGA risk prioritisation, the limitations of conventional threshold-based interpretation, and the role of online monitoring in a complete transformer health programme.
Online dissolved gas analysis monitoring provides continuous visibility into transformer gas trends between periodic laboratory samples — closing a detection gap that matters most for high-consequence assets. This article covers sensor technology, the physical basis of the detection advantage, data integration challenges, and what to look for when evaluating online monitoring systems.
As 2023 closes, Delta-X Research reviews the themes that shaped transformer diagnostics practice this year: growing demand for quantitative fleet risk assessment, expanding online monitoring deployment, the energy transition's impact on transformer stress, and international standards activity on DGA interpretation.
Power transformers represent some of the highest-value assets on a utility's balance sheet, with replacement lead times of 18–24 months for custom units. A disciplined, population-based DGA monitoring programme is one of the most cost-effective tools available for extending service life, deferring capital replacement with documented evidence, and reducing unplanned outages.
The Duval Triangle and Pentagon are graphical tools for classifying transformer fault types from dissolved gas ratios. This article explains the physical basis of each zone, how the Triangle and Pentagon complement each other, their documented limitations, and how they fit within a complete DGA interpretation strategy alongside severity metrics.
Managing hundreds or thousands of transformers means making defensible prioritisation decisions with incomplete information. DGA-based fleet screening using population-normalised CSEV and Hazard Factor metrics gives utilities a systematic, auditable way to rank risk and direct limited maintenance resources where they create the most value.
IEEE C57.104-2019 is the primary reference standard for transformer DGA interpretation in North America. This article explains what the standard actually provides, where its guidance is well-suited to practical DGA programmes, and where the science has moved beyond what threshold-based approaches can deliver.
Cumulative Severity (CSEV) and Hazard Factor (HF) are the analytical core of Reliability-based DGA. This article explains what they measure, how they are derived from transformer failure population data, and why they provide a fundamentally more informative view of transformer risk than conventional threshold-based DGA methods.
Summer peak loading accelerates transformer insulation ageing and fault development through well-characterised thermal mechanisms. A rigorous DGA monitoring programme — with population-based severity assessment rather than fixed thresholds — shifts maintenance from reactive to scheduled and reduces exposure to costly unplanned outages during the highest-demand period of the year.
Delta-X Research receives the 2022 North American Enabling Technology Leadership Award from Frost & Sullivan for Transformer Oil Analyst with Reliability-based DGA — recognised for shifting dissolved gas analysis from reactive screening to forward-looking fleet risk management.
