#6514. Interpreting dissolved gases in transformer oil: A new method based on the analysis of labelled fault data

February 2027publication date
Proposal available till 13-05-2025
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Journal’s subject area:
Electrical and Electronic Engineering;
Control and Systems Engineering;
Energy Engineering and Power Technology;
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Abstract:
In this contribution, a new dissolved gas analysis (DGA) method combining key gases and ratio approaches for power transformer fault diagnostic is presented. It is based on studying subsets and uses the five main hydrocarbon gases including hydrogen (H2), methane (CH4), ethane (C2H6), ethylene (C2H4), and acetylene (C2H2). The proposed method uses 475 samples from the dataset divided into subsets formed from the maximum and minimum(s) concentrations of the whole dataset. It has been tested on 117 DGA sample data and validated on the International Electrotechnical Commission (IEC) TC10 database. The performance of the proposed diagnostic method was evaluated and compared with the following diagnostic methods: IEC ratios method, Duvals triangle (DT), three ratios technique (TRT), Goudas triangle (GT), and self-organizing map (SOM) clusters. The results found were analysed by computer simulations using MATLAB software.
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