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Transformer Oil Gas Analysis with the Bruker TOGA Analyzer equipped with the Bruker Headspace Sampler

Applications | 2011 | BrukerInstrumentation
GC, HeadSpace
Industries
Energy & Chemicals
Manufacturer
Bruker

Summary

Significance of the Topic


The analysis of dissolved gases in transformer oil is a critical diagnostic tool for the early detection of insulation degradation and thermal faults in high-voltage equipment. Monitoring gas concentrations allows maintenance teams to predict potential failures, optimize service intervals and extend transformer lifetimes.

Study Objectives and Overview


This application note presents a workflow for dissolved gas analysis in mineral oil using ASTM D3612 Method C (headspace sampling) on the Bruker TOGA Analyzer. The goal is to demonstrate full separation, reliable quantification and excellent repeatability for key fault gases.

Methodology and Used Instrumentation


The protocol employs a closed-vessel headspace sampler (SHS-40) to partition gases from oil into an argon headspace. After calibration with a Morgan Schaffer standard, the volatile fraction is directed through:
  • A Hayesep P precolumn
  • A Carboxen-1000 micro packed column
  • A micro packed Molsieve column
The TOGA gas chromatograph is equipped with:
  • Thermal Conductivity Detector (TCD) for H2, O2 and N2
  • Flame Ionization Detector (FID) with methanizer for CO, CH4, CO2 and C2–C3 hydrocarbons
Instrument control and data processing are managed by Compass CDS software. Key oven and detector parameters follow ASTM guidelines for Rate, Temperature and Flow settings.

Main Results and Discussion


Chromatograms from both TCD and FID channels show baseline separation of seven target analytes. Repeatability tests (n=7) on a transformer oil sample yield relative standard deviations below 3.1 % for N2, CH4 and CO2, meeting the precision window defined in ASTM D3612. Back-flush timing ensures removal of higher hydrocarbons (C4+).

Benefits and Practical Applications


The described headspace-GC method offers:
  • Non-destructive extraction of dissolved gases
  • Rapid sample throughput with automated headspace injection
  • High sensitivity and linearity for fault gas quantification
  • Compliance with international standards for transformer maintenance and safety
This approach supports predictive maintenance strategies in power utilities and industrial networks.

Future Trends and Applications


Emerging directions include coupling headspace techniques with mass spectrometry for trace-level detection, integrating real-time monitoring sensors in transformer bushings and developing advanced data analytics to correlate gas profiles with specific fault types.

Conclusion


The Bruker TOGA Analyzer combined with SHS-40 headspace sampling enables robust, standard-compliant analysis of dissolved gases in transformer oil. The method delivers full component separation, accurate quantification and excellent repeatability, making it a reliable solution for asset health monitoring.

References


1. ASTM Standard D3612-02, Analysis of Gases Dissolved in Electrical Insulation Oil by Gas Chromatography, Method C, ASTM International

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