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International Journal of Frontiers in Engineering Technology, 2022, 4(8); doi: 10.25236/IJFET.2022.040809.

Application of Dissolved Gas Analysis Standards and Methods on Raw Gas Sample


Yalan Zhang

Corresponding Author:
Yalan Zhang

School of Information Technology and Electrical Engineering, University of Queensland, St Lucia QLD 4067, Australia


Dissolved gas analysis (DGA) is a tool to diagnose and identify faults that causing abnormal thermal or electrical activity inside power transformers, which could give rise to the aging and degrading of oil and pressboard. Different DGA standards and methods will be reviewed, and discussed in the paper, followed by a demonstration of application of three DGA method on a dissolved gas dataset.


Dissolved gas analysis, DGA, Power transformer, Insulation

Cite This Paper

Yalan Zhang. Application of Dissolved Gas Analysis Standards and Methods on Raw Gas Sample. International Journal of Frontiers in Engineering Technology (2022), Vol. 4, Issue 8: 64-67. https://doi.org/10.25236/IJFET.2022.040809.


[1] S. Ghoneim and K. A. Shoush, "Diagnostic Tool for Transformer Fault Detection Based on Dissolved Gas Analysis," IOSR Journal of Electrical and Electronics Engineering, vol. 9, no. 5, pp. 20-26, 2014, doi: 10.9790/1676-09532026.

[2] M. Duval. (2002), "A Review of Faults Detectable by Gas-in-Oil Analysis in Transformers". IEEE Electrical Insulation Magazine. 10. 

[3] M. Duval and L. Lamarre, "The duval pentagon-a new complementary tool for the interpretation of dissolved gas analysis in transformers," IEEE Electrical Insulation Magazine, vol. 30, no. 6, pp. 9-12, November-December 2014, doi: 10.1109/MEI.2014.6943428.

[4] H. Hu, "Software implementation of automatic fault identification based on the Duval Pentagon," Journal of Physics: Conference Series, 2020, doi: 10.1088/1742-6596/1633/1/012135.

[5] J. Dukarm, Z. Draper, and T. Piotrowski, "Diagnostic Simplexes for Dissolved-Gas Analysis," Energies, vol. 13, no. 23, 2020, doi: 10.3390/en13236459.

[6] A. Abu-Siada, "Improved Consistent Interpretation Approach of Fault Type within Power Transformers Using Dissolved Gas Analysis and Gene Expression Programming," Energies, vol. 12, no. 4, 2019, doi: 10.3390/en12040730.

[7] A.-M. Aciu, C.-I. Nicola, M. Nicola, and M.-C. Nițu, "Complementary Analysis for DGA Based on Duval Methods and Furan Compounds Using Artificial Neural Networks," Energies, vol. 14, no. 3, 2021, doi: 10.3390/en14030588.