Interpreting dissolved gases in transformer oil: A new method based on the analysis of labelled fault data-Reference-Cited by-同舟云学术

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

Published:2021-06-28 Issue:21 Volume:15 Page:3032-3047
ISSN:1751-8687
Container-title:IET Generation, Transmission & Distribution
language:en
Short-container-title:IET gener. transm. distrib.

Author:

Nanfak Arnaud¹,Eke Samuel¹,Kom Charles Hubert¹,Mouangue Ruben²,Fofana Issouf³

Affiliation:

1. Laboratory of Energy, Materials, Modelling and Methods, National Higher Polytechnic School of Douala University of Douala Douala Cameroon

2. Laboratory of Combustion and Green Technologies Department of Energetic Engineering UIT University of Ngaoundere Ngaoundere Cameroon

3. Research Chair on the Aging of Power Network Infrastructure (ViAHT) University of Quebec in Chicoutimi Chicoutimi Canada

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/gtd2.12239

Reference47 articles.

1. Association Rule Mining-Based Dissolved Gas Analysis for Fault Diagnosis of Power Transformers

2. A Review of Dissolved Gas Analysis in Power Transformers

3. Smart Diagnosis of Incipient Faults Using Dissolved Gas Analysis-Based Fault Interpretation Matrix (FIM)

4. Power transformer fault diagnosis considering data imbalance and data set fusion;Zhang Y.;High Voltage,2020

5. Senoussaoui M.E.A.:Contribution des techniques intelligentes au diagnostic industriel des transformateurs de puissance. Thesis Université DJILLALI LIABBES DE SIDI BEL ABBES (2019)

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A feature selection and ensemble learning based methodology for transformer fault diagnosis;Applied Soft Computing;2024-01

2. Method of fault‐type recognition based on the dissolved gas analysis using a set of diagnostic criteria;IET Generation, Transmission & Distribution;2023-12

3. Improved intelligent methods for power transformer fault diagnosis based on tree ensemble learning and multiple feature vector analysis;Electrical Engineering;2023-11-03

4. Hybrid DGA Method for Power Transformer Faults Diagnosis Based on Evolutionary k-Means Clustering and Dissolved Gas Subsets Analysis;IEEE Transactions on Dielectrics and Electrical Insulation;2023-10

5. Conventional methods of dissolved gas analysis using oil-immersed power transformer for fault diagnosis: A review;Electric Power Systems Research;2023-03