Inferensys

Glossary

Dissolved Gas Analysis (DGA)

A diagnostic technique that measures the concentration of specific gases dissolved in transformer insulating oil to detect incipient thermal and electrical faults.
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DIAGNOSTIC TECHNIQUE

What is Dissolved Gas Analysis (DGA)?

Dissolved Gas Analysis (DGA) is the primary diagnostic technique for detecting incipient thermal and electrical faults within oil-filled power transformers by measuring the concentration and composition of fault gases dissolved in the insulating oil.

Dissolved Gas Analysis (DGA) is a laboratory or online diagnostic procedure that quantifies specific hydrocarbon and non-hydrocarbon gases—including hydrogen, methane, acetylene, ethylene, and ethane—generated by the thermal decomposition of mineral oil and cellulose insulation. The relative concentrations and generation rates of these key gases serve as distinct chemical signatures, allowing reliability engineers to identify specific fault types such as partial discharge, thermal faults (overheating), and arcing before catastrophic failure occurs.

Interpretation of DGA results relies on established methods like the Duval Triangle, IEC 60599 gas ratios, and Rogers Ratio to classify the active fault mechanism. Modern predictive maintenance strategies integrate DGA data with time-series forecasting models and online DGA monitors to trend gas evolution, enabling the calculation of Remaining Useful Life (RUL) and the transition from time-based to Condition-Based Maintenance (CBM).

DIAGNOSTIC MARKERS

Key Fault Gases and Their Indications

The concentration and ratio of specific gases dissolved in transformer oil serve as distinct chemical fingerprints for different thermal and electrical fault processes.

01

Hydrogen (H₂)

A key indicator of partial discharge and low-energy electrical disturbances. Hydrogen is generated by the decomposition of oil molecules under electron bombardment in gas-filled voids within the insulation. It is also produced by corona in oil and the reaction of water with hot metal surfaces. Rapidly rising H₂ levels with minimal other gases strongly suggest partial discharge activity. However, hydrogen alone is not fully diagnostic, as it can also appear in early stages of thermal faults. Stainless steel surfaces can catalytically generate hydrogen, complicating interpretation.

> 100 ppm
IEC 60599 Alert Threshold
02

Acetylene (C₂H₂)

The definitive marker for arcing and high-energy electrical breakdown. Acetylene forms only at temperatures exceeding 700°C to 800°C, conditions exclusively created by electrical arcing in oil. Its presence, even in trace amounts, is a critical alarm requiring immediate investigation. Key diagnostic ratios involving acetylene include the Dörnenburg Ratio and the Duval Triangle method. A sudden spike in acetylene accompanied by hydrogen and ethylene confirms an active arcing fault, such as a winding short circuit or tap changer flashover.

> 1 ppm
Considered Significant
03

Ethylene (C₂H₄)

The primary indicator of thermal faults in oil exceeding 500°C. Ethylene is generated by the thermal cracking of hydrocarbon oil molecules under high heat. It is the dominant gas in cases of severe overheating, such as hot spots on core laminations, circulating current paths, or overloaded windings. The ratio of ethylene to ethane helps differentiate between low-temperature and high-temperature thermal faults. A high ethylene-to-ethane ratio points toward a hot metal surface in direct contact with oil.

> 50 ppm
IEC 60599 Alert Threshold
04

Methane (CH₄)

Associated with low-to-medium temperature thermal faults and partial discharge in oil. Methane begins forming at lower temperatures than ethylene, typically in the range of 150°C to 300°C, making it an early warning sign of developing hot spots. It is also produced by partial discharge in oil, though in lower concentrations than hydrogen. The methane-to-hydrogen ratio is a key diagnostic tool: a high ratio suggests a thermal process, while a low ratio points toward electrical discharge.

> 75 ppm
IEC 60599 Alert Threshold
05

Carbon Monoxide (CO) & Carbon Dioxide (CO₂)

The primary indicators of solid insulation degradation. Unlike hydrocarbon gases that originate from oil decomposition, CO and CO₂ are generated by the thermal decomposition of cellulose paper insulation. Elevated CO levels, especially when the CO/CO₂ ratio exceeds 0.1, signal paper overheating or pyrolysis. This is critical because paper insulation is non-renewable; once degraded, the transformer's mechanical integrity is permanently compromised. The Duval Triangle 2 method specifically uses these gases to diagnose cellulose degradation.

> 0.1
CO/CO₂ Ratio Concern
06

Ethane (C₂H₆)

Indicative of low-temperature thermal faults in oil, typically below 500°C. Ethane forms alongside methane during the initial stages of oil overheating. It is a key component in the Rogers Ratio method, where the ethylene-to-ethane ratio distinguishes between thermal faults of increasing severity. A low ethylene-to-ethane ratio with rising ethane suggests a developing hot spot that has not yet reached the temperature threshold for significant ethylene production. Trending ethane provides early warning before more severe gases appear.

> 65 ppm
IEC 60599 Alert Threshold
DGA ESSENTIALS

Frequently Asked Questions

Clear, technically precise answers to the most common questions about dissolved gas analysis for transformer diagnostics.

Dissolved Gas Analysis (DGA) is a diagnostic technique that measures the concentration and composition of specific gases dissolved in transformer insulating oil to detect and classify incipient thermal and electrical faults. The process works because different fault types—such as overheated cellulose, partial discharge, or arcing—generate distinct hydrocarbon gas signatures as the mineral oil and paper insulation decompose under thermal or electrical stress. A sample of oil is extracted from the transformer, typically via a sealed syringe, and the dissolved gases are extracted using headspace extraction or vacuum degasification. The extracted gases are then injected into a gas chromatograph, which separates and quantifies individual components including hydrogen (H₂), methane (CH₄), ethane (C₂H₆), ethylene (C₂H₄), acetylene (C₂H₂), carbon monoxide (CO), and carbon dioxide (CO₂). The resulting gas concentrations, measured in parts per million (ppm), are interpreted using standardized methods such as IEC 60599, IEEE C57.104, or the Duval Triangle to identify the specific fault type and its severity. Key gas ratios—such as CH₄/H₂, C₂H₂/C₂H₄, and C₂H₄/C₂H₆—serve as diagnostic fingerprints that distinguish between thermal faults, partial discharge, and arcing conditions.

Prasad Kumkar

About the author

Prasad Kumkar

CEO & MD, Inference Systems

Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.

His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.