Dissolved Gas Analysis Methods

Power transformers play a key role in any power network and must be maintained and effectively monitored with continuous condition assessment to ensure reliability of the network. Numerous techniques have been developed over the years for the detection of transformer faults. 

Some of the conventional parameters used are dissolved gases, furfuraldehyde, degree of polymerisation of paper insulation and frequency response analysis. Dissolved gas analysis has been extensively utilised for incipient fault detection by some of the following methods; key gas analysis [IEC60567], the Dornenburg [Dornenburg1], Duval [Duval1], Rogers [Rogers1] gas ratio method and those highlighted in the ANSI/IEEE standard [IEEE C57.104]. Other advanced analytical techniques explored are artificial neural networks, fuzzy logic, data mining and cluster analysis with the aim of identifying fault conditions within the transformer.The next few sections provide a short review of the capabilities of the generally accepted fault diagnosis methods.

Use the following link to the "Analysis" section to get the Rogers Ratio diagnosis of the oil samples. Enter the oil sample under "Sample 5" to get the diagnosis.

References

[Dornenburg1]	Dornenburg, E., Strittmater, W., “Monitoring Oil Cooling Transformers by Gas Analysis,” Brown Boveri Review 61.5, pages 238-274, 1974
[Duval1]	Duval, M., “A Review of Faults Detectable by Gas-in-oil Analysis in Transformers,” IEEE Electrical Insulation Magazine, Vol. 18, No. 3, Pages 8-17, May/June 2002
[IEC 60567]	IEC 60567, “Oil-filled Electrical Equipment – Sampling of Gases and of Oil for Analysis of Free and Dissolved Gases – Guidance,” 4th Edition, IEC Publication, 2011
[IEEE C57.104]	IEEE C57.104, “IEEE Guide for the Interpretation of Gases Generated in Oil-immersed Transformers,” IEEE Power Energy Society, 2008
[Rogers1]	Rogers, R. R., “IEEE and IEC Codes to Interpret Incipient Faults in Transformers Using Gas in Oil Analysis,” IEEE Transactions on Electrical Insulation, Vol. 13, No. 5, pages 349-354, October 1978