Conventional methods of dissolved gas analysis using oil-immersed power transformer for fault diagnosis: A review

MS Ali, A Omar, ASA Jaafar, SH Mohamed - Electric Power Systems …, 2023 - Elsevier
This review paper summarizes the discoveries made about dissolved gas analysis (DGA)
conventional methods around the decade. DGA is a well-known diagnostic tool to classify …

Computational intelligence for preventive maintenance of power transformers

SY Wong, X Ye, F Guo, HH Goh - Applied Soft Computing, 2022 - Elsevier
Power transformers are an indispensable equipment in power transmission and distribution
systems, and failures or hidden defects in power transformers can cause operational and …

An AI-Layered with Multi-Agent Systems Architecture for Prognostics Health Management of Smart Transformers: A Novel Approach for Smart Grid-Ready Energy …

O Laayati, H El Hadraoui, A El Magharaoui, N El-Bazi… - Energies, 2022 - mdpi.com
After the massive integration of distributed energy resources, energy storage systems and
the charging stations of electric vehicles, it has become very difficult to implement an efficient …

Investigation on machine learning algorithms to support transformer dissolved gas analysis fault identification

Ekojono, RA Prasojo, ME Apriyani, AN Rahmanto - Electrical Engineering, 2022 - Springer
Dissolved gas analysis (DGA) is a powerful tool to monitor the condition of a power
transformer. Several interpretation methods have been proposed, one of the most reliable of …

Transformer fault diagnosis based on improved deep coupled dense convolutional neural network

Z Li, Y He, Z Xing, J Duan - Electric Power Systems Research, 2022 - Elsevier
The normal operation of the power transformer guarantees the safety and reliability of the
power system. However, the data of gas in oil exists the phenomenon of insufficient and …

An offline and online approach to the OLTC condition monitoring: A review

FB Ismail, M Mazwan, H Al-Faiz, M Marsadek, H Hasini… - Energies, 2022 - mdpi.com
Transformer failures have a significant cost impact on the operation of an electrical network.
In many utilities, transformers have been operating for many years past their expected …

Smart energy management system: oil immersed power transformer failure prediction and classification techniques based on DGA data

O Laayati, H El Hadraoui, M Bouzi… - 2022 2nd International …, 2022 - ieeexplore.ieee.org
The power transformer is the key element in the electrical grid. The failures of the power
transformer impact critically the grid, can cause energy loss and blackouts. In energy …

[HTML][HTML] Failure mapping and critical measurements for the operating condition assessment of power transformers

DA Barkas, I Chronis, C Psomopoulos - Energy Reports, 2022 - Elsevier
The causes of failure of critical component of the electrical power distribution network like
the power transformers, has always attracted the interest of the scientific and technical …

Condition assessment of power transformers through DGA measurements evaluation using adaptive algorithms and deep learning

DA Barkas, SD Kaminaris, KK Kalkanis, GC Ioannidis… - Energies, 2022 - mdpi.com
Condition assessment for critical infrastructure is a key factor for the wellbeing of the modern
human. Especially for the electricity network, specific components such as oil-immersed …

New Insights into Gas-in-Oil-Based Fault Diagnosis of Power Transformers

FM Laburú, TW Cabral, FV Gomes, ER de Lima… - Energies, 2024 - mdpi.com
The dissolved gas analysis of insulating oil in power transformers can provide valuable
information about fault diagnosis. Power transformer datasets are often imbalanced …