Nanfak Arnaud, Eke Samuel, Kom Charles Hubert, Mouangue Ruben et Fofana Issouf. (2021). Interpreting dissolved gases in transformer oil: A new method based on the analysis of labelled fault data. IET Generation, Transmission and Distribution, p. 1-16.
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URL officielle: http://dx.doi.org/doi:10.1049/gtd2.12239
Résumé
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, Duval's triangle (DT), three ratios technique (TRT), Gouda's triangle (GT), and self-organizing map (SOM) clusters. The results found were analysed by computer simulations using MATLAB software. The proposed method has a diagnosis accuracy of 97.42% for fault types, as compared to 93.16% of TRT, 96.58% of GT method, 97.25% of SOM clusters method and 98.29% of DT method. However, in terms of fault severity, the proposed method has a diagnostic accuracy of 90.59% as compared to 78.90% of SOM clusters method, 83.76% of TRT, 88.03% of DT method, and 89.74% of GT method.
Type de document: | Article publié dans une revue avec comité d'évaluation |
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Pages: | p. 1-16 |
Version évaluée par les pairs: | Oui |
Date: | 2021 |
Sujets: | Sciences naturelles et génie > Génie Sciences naturelles et génie > Génie > Génie électrique et génie électronique Sciences naturelles et génie > Sciences appliquées |
Département, module, service et unité de recherche: | Départements et modules > Département des sciences appliquées > Module d'ingénierie Unités de recherche > Centre international de recherche sur le givrage atmosphérique et l’ingénierie des réseaux électriques (CENGIVRE) > Vieillissement de l’appareillage installé sur les lignes à haute tension (ViAHT) |
Mots-clés: | dissolved gas analysis (DGA), transformer oil, labelled fault data, ratio approaches, fault diagnostic, Interprétation des gaz dissous, huile de transformateur, données d'étiquetées en défaut, approches par ratio, diagnostic de panne |
Déposé le: | 21 juill. 2021 13:48 |
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Dernière modification: | 21 juill. 2021 13:48 |
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