Interpreting dissolved gases in transformer oil: A new method based on the analysis of labelled fault data. Issue 21 (28th June 2021)
- Record Type:
- Journal Article
- Title:
- Interpreting dissolved gases in transformer oil: A new method based on the analysis of labelled fault data. Issue 21 (28th June 2021)
- Main Title:
- Interpreting dissolved gases in transformer oil: A new method based on the analysis of labelled fault data
- Authors:
- Nanfak, Arnaud
Eke, Samuel
Kom, Charles Hubert
Mouangue, Ruben
Fofana, Issouf - Abstract:
- 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 (C2 H6 ), ethylene (C2 H4 ), and acetylene (C2 H2 ). 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.
- Is Part Of:
- IET generation, transmission & distribution. Volume 15:Issue 21(2021)
- Journal:
- IET generation, transmission & distribution
- Issue:
- Volume 15:Issue 21(2021)
- Issue Display:
- Volume 15, Issue 21 (2021)
- Year:
- 2021
- Volume:
- 15
- Issue:
- 21
- Issue Sort Value:
- 2021-0015-0021-0000
- Page Start:
- 3032
- Page End:
- 3047
- Publication Date:
- 2021-06-28
- Subjects:
- Organic insulation -- Transformers and reactors -- Data handling techniques -- Power engineering computing -- Neural nets
Electric power production -- Periodicals
Electric power transmission -- Periodicals
Electric power distribution -- Periodicals
621.3105 - Journal URLs:
- http://digital-library.theiet.org/content/journals/iet-gtd ↗
http://ieeexplore.ieee.org/servlet/opac?punumber=4082359 ↗
http://www.ietdl.org/IET-GTD ↗
https://ietresearch.onlinelibrary.wiley.com/journal/17518695 ↗
http://www.theiet.org/ ↗ - DOI:
- 10.1049/gtd2.12239 ↗
- Languages:
- English
- ISSNs:
- 1751-8687
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4363.252540
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 26190.xml