Review on gassing tendency of different insulating fluids towards transformer applications

AJ Amalanathan, R Sarathi, M Zdanowski, R Vinu… - Energies, 2023 - mdpi.com
This paper reports the critical reviews on the gassing tendency of different insulating fluids
along with the precautionary measures to be considered during their fault diagnosis in …

Accurate identification of transformer faults from dissolved gas data using recursive feature elimination method

S Das, A Paramane, S Chatterjee… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Dissolved gas analysis (DGA) of insulating oils is one of the most popular methods to detect
incipient faults in power transformers. However, appropriate feature selection is crucial for …

Influence of data balancing on transformer DGA fault classification with machine learning algorithms

KN Rajesh, UM Rao, I Fofana, P Rozga… - … on Dielectrics and …, 2022 - ieeexplore.ieee.org
The application of artificial intelligence algorithms for transformer incipient fault classification
using dissolved gas analysis (DGA) is an interesting engineering approach. However, there …

Classification and Prediction of Incipient Faults in Transformer Oil by Supervised Machine Learning using Decision Tree

RA Raj, D Sarathkumar… - 2023 3rd …, 2023 - ieeexplore.ieee.org
Transformer condition evaluation is a crucial technique for displaying a transformer's health
index. Key gases (KG), which dissolve in oil and become inseparable, are developed …

Key gases in transformer oil–an analysis using self organizing map (SOM) neural networks

RA Raj, D Sarathkumar, LJB Andrews… - 2023 IEEE 12th …, 2023 - ieeexplore.ieee.org
Power transformer (PT) is a typical resource to the power system network for the
transmission and distribution of power. A typical PT operates all the days in a year at full …

Partial Discharge Localization through k-NN and SVM

PM Sekatane, P Bokoro - Energies, 2023 - mdpi.com
Power transformers are essential for the distribution and transmission of electricity, but they
are prone to degradation due to faults early on. Partial Discharge (PD) is the most significant …

The State of the Art in transformer fault diagnosis with artificial intelligence and Dissolved Gas Analysis: A Review of the Literature

Y Li - arXiv preprint arXiv:2304.11880, 2023 - arxiv.org
Transformer fault diagnosis (TFD) is a critical aspect of power system maintenance and
management. This review paper provides a comprehensive overview of the current state of …

Dissolved gas in transformer oil forecasting for transformer fault evaluation based on HATT-RLSTM

M Zhong, Y Cao, G He, L Feng, Z Tan, W Mo… - Electric Power Systems …, 2023 - Elsevier
Forecasting of dissolved gas concentration in transformer oil is important for judging the
status trend of transformer in advance. The DGA sequence prediction results of the …

Principal Component Analysis of Key Gases in Transformer Oil using DGA Data

RA Raj, LJB Andrews, SK Venkatachary… - 2023 International …, 2023 - ieeexplore.ieee.org
Using principal component analysis, this investigation examines the Key Gases (KG) H 2,
CH 4, C 2 H 6, C 2 H 4, and C 2 H 4 (PCA). To ascertain the contribution of each KG towards …

Investigating the Survival and Hazards of Dissolved Gases in Transformer Oil Using DGA history

RA Raj, S Murugesan, D Sarathkumar… - 2023 IEEE 12th …, 2023 - ieeexplore.ieee.org
Distribution and Power Transformers (DPTs) have been safely insulated using Transformer
Oil (TO) for many years in the commercial sector. The loaded DPTs will ultimately …