DGA Programme Maturity Assessment

Evaluate your dissolved gas analysis programme against best practices from IEEE Std C57.104-2019, CIGRE TB 771, and ISO 55001.

1Sampling & Data

2Interpretation

3Management

4Get Report

Sampling & Data Collection: This section assesses how you collect and manage DGA data. Sampling practices form the foundation of any DGA programme — IEEE Std C57.104-2019 Section 5 defines screening strategies based on transformer criticality. Source: IEEE Std C57.104-2019

1. How frequently do you perform DGA sampling?

IEEE Std C57.104-2019 recommends screening frequency based on transformer criticality, economic impact, and safety implications — not a one-size-fits-all interval. — IEEE Std C57.104-2019

No regular scheduleAnnual or less frequent, same interval for all transformersRisk-based frequency adjusted by transformer criticalityContinuous online monitoring on critical units, periodic on others

2. How do you manage your DGA data?

Effective DGA programmes require systematic data management to enable trending and cross-fleet comparison. Integration with CMMS systems (e.g., Cascade) enables automated alerts and work order generation.

Paper records or spreadsheetsDedicated software, manually updatedDedicated software with automated import and trendingIntegrated with CMMS or asset management system

3. Do you establish baselines and track trends?

IEEE Std C57.104-2019 emphasises rate-of-change analysis between consecutive samples as critical for assessing fault progression — a single sample in isolation has limited diagnostic value. — IEEE Std C57.104-2019

No baseline establishedBaseline from first sample onlyBaseline with regular trending and rate-of-change trackingStatistical trending with fleet-wide benchmarking

Interpretation & Diagnostics: This section evaluates how you interpret DGA results. The progression from simple gas limits to advanced diagnostic methods represents a significant leap in programme maturity.

4. What DGA interpretation method do you primarily use?

Fixed limits catch only the most obvious problems. CIGRE TB 771 demonstrates that Duval methods and reliability-based approaches significantly improve diagnostic accuracy and reduce false alarms. — CIGRE TB 771

Compare against fixed gas concentration limits onlyUse ratio methods (Rogers, Doernenburg)Use Duval Triangle or Pentagon methodsUse reliability-based DGA (R-DGA) or equivalent statistical methods

5. Do you account for gas loss and stray gassing?

Gas loss through seals and stray gassing from certain oil types can distort DGA results. CIGRE TB 771 identifies stray gassing as a common source of false alarms in immature programmes. — CIGRE TB 771

Not consideredAware but not systematically accounted forAccounted for in interpretation methodology

6. Do you identify specific fault types from DGA data?

Identifying fault type and energy level — not just detecting elevated gas — is essential for determining the appropriate response. IEEE Std C57.104-2019 provides fault type identification flowcharts. — IEEE Std C57.104-2019

No fault type identificationBasic categorisation (thermal vs. electrical)Detailed fault type identification with energy level assessment

7. Do you use population-based failure data in your assessments?

Population-based failure data enables probability-of-failure estimates rather than simple pass/fail thresholds. This is the basis of Reliability-based DGA (R-DGA) — the methodology behind Transformer Oil Analyst.

Rely on published concentration limits onlyUse internal failure history to inform interpretationUse population-based failure statistics for risk assessment

Programme Management: This section assesses how your DGA programme integrates with broader asset management practices. ISO 55001 defines the framework for mature asset management systems. Source: ISO 55001

8. Do you have a documented escalation and response process?

A documented escalation process ensures consistent response regardless of which engineer reviews the results. ISO 55001 requires defined decision-making processes for condition-based maintenance. — ISO 55001

No documented processInformal escalation based on individual experienceDocumented procedures with defined actions per severity levelFully integrated with asset management decision framework

9. How do you use online DGA monitoring?

Online monitors generate high-frequency data that requires signal processing to separate real fault signals from sensor noise. Vendor-neutral platforms like TOA with Monitor Watch integrate online and periodic data in one system.

No online DGA monitoringOnline monitors on some critical transformersOnline monitors integrated with periodic DGA in a unified platform

10. How does your team engage with the broader DGA community?

Participation in industry working groups (IEEE, CIGRE) and user communities provides access to the latest research, peer benchmarking, and failure case studies that improve diagnostic accuracy.

No external engagementAttend conferences or read publicationsParticipate in working groups, benchmarking, or user communities

Your assessment is complete. Provide your contact details and we will send you a detailed DGA Programme Maturity Report based on your responses, including specific recommendations mapped to IEEE Std C57.104-2019 and CIGRE TB 771, plus guidance on how to advance to the next maturity level.

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How this assessment works

Standards-based

Questions are structured around IEEE Std C57.104-2019 programme management practices, CIGRE TB 771 diagnostic methods, and ISO 55001 asset management requirements.

Personalised

Recommendations are generated based on your specific gaps — not generic advice. Each recommendation links to the relevant standard or resource.

Detailed report

Request a detailed programme maturity report reviewed by the Delta-X Research team, including a roadmap to advance your programme to the next level.