The Duval Triangle is a ternary plot that maps the relative concentrations of three key hydrocarbon gases—methane (CH₄), ethylene (C₂H₄), and acetylene (C₂H₂)—to visually diagnose incipient faults in oil-filled transformers. Developed by Michel Duval, this method partitions the triangular coordinate space into distinct zones corresponding to specific thermal and electrical failure modes, including partial discharge, hot spots of varying temperature ranges, and arcing.
Glossary
Duval Triangle

What is Duval Triangle?
The Duval Triangle is a graphical diagnostic method that plots the relative proportions of methane (CH₄), ethylene (C₂H₄), and acetylene (C₂H₂) from dissolved gas analysis to classify transformer fault types.
Unlike simple gas ratio methods such as Rogers or Dörnenburg, the Duval Triangle provides higher diagnostic resolution by utilizing the percentage composition of only three gases, making it particularly effective for distinguishing between faults of different energy intensities. The method is standardized in IEC 60599 and is widely used by reliability engineers for rapid, visual fault classification without requiring complex computational models.
Key Characteristics of the Duval Triangle
The Duval Triangle is a graphical diagnostic method that plots the relative proportions of methane (CH₄), ethylene (C₂H₄), and acetylene (C₂H₂) from dissolved gas analysis to classify transformer fault types into distinct thermal and electrical zones.
Triangular Coordinate System
The method uses a ternary plot where each side represents 0% to 100% of a single hydrocarbon gas. The relative percentage of %CH₄, %C₂H₄, and %C₂H₂ is calculated from their total sum, forcing the data point to fall within the triangle. This normalization eliminates the influence of absolute gas concentration, making the diagnosis independent of oil volume and fault severity. The triangle is divided into six fault zones (plus a stray gas zone) corresponding to specific thermal and electrical failure mechanisms.
Fault Zone Classification
The triangle partitions into distinct diagnostic regions:
- PD: Partial discharge (corona in gas bubbles)
- T1: Thermal fault below 300°C
- T2: Thermal fault between 300°C and 700°C
- T3: Thermal fault above 700°C
- D1: Low-energy electrical discharge
- D2: High-energy electrical discharge (arcing)
- DT: Mixed thermal and electrical faults
Each zone maps to specific physical degradation mechanisms, from cellulose pyrolysis in T2/T3 zones to copper vaporization in D2 arcing events.
Gas Ratio Interpretation Logic
The Duval Triangle implicitly encodes hydrocarbon ratio logic without requiring manual ratio calculation. Key diagnostic indicators include:
- High C₂H₂ (>30%): Strongly indicates arcing (D1/D2 zones), as acetylene forms only at temperatures exceeding 700°C
- High C₂H₄ (>50%): Points toward thermal faults (T2/T3), since ethylene dominates during oil overheating
- High CH₄ (>80%): Suggests low-temperature thermal faults (T1) or partial discharge
- Balanced distribution: Often indicates mixed thermal-electrical faults (DT zone)
This visual approach eliminates the ambiguity of fixed ratio codes like IEC 60599 Rogers ratios.
Evolutionary Fault Tracking
By plotting sequential DGA samples on the triangle over time, engineers can visualize fault trajectory as a moving point. A point migrating from the T1 zone toward T2/T3 indicates escalating thermal severity, while movement toward D1/D2 signals developing electrical discharge activity. This temporal tracking enables condition-based maintenance decisions—a fault drifting toward the D2 arcing zone demands immediate intervention, while a stable T1 reading may warrant continued monitoring. The trajectory path itself becomes a diagnostic signature.
Limitations and Complementary Methods
The Duval Triangle has specific constraints:
- Excludes hydrogen (H₂) and ethane (C₂H₆), which are critical for detecting partial discharge and low-temperature thermal faults respectively
- Cannot distinguish between oil and paper involvement in thermal faults—requires CO and CO₂ analysis
- Single-point ambiguity can occur near zone boundaries
- Not applicable to non-mineral oils or silicone fluids
For comprehensive diagnosis, the triangle is typically combined with Duval Pentagon (adding H₂ and C₂H₆) and IEC 60599 basic gas ratios for cross-validation.
Implementation in Automated DGA Systems
Modern online DGA monitors embed Duval Triangle logic directly into firmware for real-time fault classification. The algorithm:
- Extracts CH₄, C₂H₄, and C₂H₂ concentrations from multi-gas sensors
- Calculates relative percentages
- Maps coordinates to predefined zone polygons
- Triggers SCADA alarms with fault type and recommended actions
This automation enables edge AI deployment where classification runs locally on substation gateways without cloud dependency, providing sub-second fault alerts to asset managers.
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Frequently Asked Questions
Clear, technical answers to the most common questions about interpreting transformer faults using the Duval Triangle method for dissolved gas analysis.
The Duval Triangle is a graphical diagnostic method that classifies transformer fault types by plotting the relative proportions of three key hydrocarbon gases—methane (CH₄), ethylene (C₂H₄), and acetylene (C₂H₂)—dissolved in insulating oil. Developed by Michel Duval in the 1970s, it works by calculating the percentage of each gas relative to the sum of the three, then mapping that coordinate onto a triangular chart divided into distinct fault zones. Each zone corresponds to a specific thermal or electrical fault mechanism:
- PD: Partial discharge (low-energy corona in gas bubbles)
- D1/D2: Discharges of low and high energy (arcing)
- T1/T2/T3: Thermal faults of increasing severity (<300°C, 300-700°C, >700°C)
- D+T: Mixed thermal and electrical faults
The method is standardized in IEC 60599 and remains one of the most widely used dissolved gas analysis (DGA) interpretation techniques because it requires only three gases and provides unambiguous fault classification without relying on gas ratios that can fall outside defined ranges.
Related Terms
The Duval Triangle is one component of a broader diagnostic toolkit. These related concepts form the complete workflow for transformer condition assessment and predictive maintenance.
Dissolved Gas Analysis (DGA)
The foundational laboratory technique that measures concentrations of hydrogen (H₂), methane (CH₄), acetylene (C₂H₂), ethylene (C₂H₄), and ethane (C₂H₆) dissolved in transformer oil. DGA provides the raw gas values that the Duval Triangle plots to classify faults. Without accurate DGA sampling following IEC 60567 or ASTM D3612 procedures, triangle interpretation becomes unreliable.
- Key gases correlate to specific fault types
- Requires oil sampling from transformer drain valve
- Results expressed in parts per million (ppm)
IEC 60599 Interpretation Standard
The international standard that defines normal gas concentration limits, gas ratio methods, and diagnostic zones for mineral oil-filled equipment. While the Duval Triangle is a popular graphical tool, IEC 60599 provides the authoritative framework for interpreting whether gas levels indicate normal aging, possible fault, or active fault conditions.
- Defines 90th percentile typical gas values
- Specifies sampling and analysis requirements
- Complements Duval Triangle with Rogers Ratio method
Online DGA Monitor
A permanently installed multi-gas sensor that provides continuous real-time dissolved gas readings without manual oil sampling. Modern monitors use photo-acoustic spectroscopy or gas chromatography to feed automated Duval Triangle analysis every few hours, enabling immediate alarming when fault zones shift.
- Eliminates sampling lag between lab tests
- Enables trend analysis and rate-of-change alerts
- Critical for unattended substations
Failure Mode Classification
The supervised machine learning task that maps DGA patterns to specific fault categories: partial discharge (PD), thermal faults below 300°C (T1), thermal faults 300-700°C (T2), thermal faults above 700°C (T3), and electrical arcing (D1/D2). The Duval Triangle provides the labeled training data structure for these models.
- Random Forest and XGBoost commonly applied
- Requires historical fault confirmation for labels
- Extends triangle logic with additional gas ratios
Furan Analysis
A complementary diagnostic test that measures furanic compounds (2-FAL, 5-HMF, 2-FOL, 2-ACF, 5-MEF) dissolved in oil as chemical markers of solid paper insulation degradation. While the Duval Triangle identifies active faults in oil, furan analysis reveals the aging state of cellulose insulation, which cannot be detected by gas analysis alone.
- Directly correlates to Degree of Polymerization (DP)
- 2-FAL is the primary degradation marker
- Combined with DGA for complete health assessment
Explainable AI (XAI)
Methods like SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations) applied to machine learning models that automate Duval Triangle classification. XAI provides asset managers with feature attribution scores showing exactly which gas ratios drove a fault classification, bridging the gap between black-box AI and traditional graphical methods.
- SHAP values quantify each gas contribution
- Builds trust with reliability engineers
- Required for regulatory compliance in some jurisdictions

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.
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