Inferensys

Glossary

Duval Triangle

A graphical diagnostic method that plots the relative proportions of methane, ethylene, and acetylene from dissolved gas analysis to classify transformer fault types.
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TRANSFORMER FAULT DIAGNOSIS

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.

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.

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.

FAULT DIAGNOSTIC METHOD

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.

01

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.

02

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.

03

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.

04

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.

05

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.

06

Implementation in Automated DGA Systems

Modern online DGA monitors embed Duval Triangle logic directly into firmware for real-time fault classification. The algorithm:

  1. Extracts CH₄, C₂H₄, and C₂H₂ concentrations from multi-gas sensors
  2. Calculates relative percentages
  3. Maps coordinates to predefined zone polygons
  4. 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.

DUVAL TRIANGLE DIAGNOSTICS

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.

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.