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 …

State-of-the-art review on asset management methodologies for oil-immersed power transformers

L **, D Kim, A Abu-Siada - Electric Power Systems Research, 2023 - Elsevier
Owing to their vital function and high cost, oil-immersed power transformers represent key
links in electricity grids. While extensive effort has been invested by industry in develo** …

A real-time transformer discharge pattern recognition method based on CNN-LSTM driven by few-shot learning

Q Zheng, R Wang, X Tian, Z Yu, H Wang… - Electric Power Systems …, 2023 - Elsevier
The safe application of discharge equipment, such as transformers, is related to the
reliability of smart power grid and is crucial to the stable operation of the power system …

[HTML][HTML] Improvement of power transformer fault diagnosis by using sequential Kalman filter sensor fusion

M Demirci, H Gözde, MC Taplamacioglu - International Journal of Electrical …, 2023 - Elsevier
Power transformers are one of the most important and costly equipment for the reliability and
continuity of electrical power systems. For this reason, continuous monitoring of power …

[HTML][HTML] Precise transformer fault diagnosis via random forest model enhanced by synthetic minority over-sampling technique

RA Prasojo, MAA Putra, ME Apriyani… - Electric Power Systems …, 2023 - Elsevier
Power transformers are considered one of the power system's most critical and expensive
assets. In this regard, it is vital to assess the fault within the power transformer considering …

Deep machine learning-based asset management approach for oil-immersed power transformers using dissolved gas analysis

L **, D Kim, KY Chan, A Abu-Siada - IEEE Access, 2024 - ieeexplore.ieee.org
Reliable operation of oil-immersed power transformers is crucial for electrical transmission
and distribution networks. However, the aging of high voltage assets including power …

Neural networks and particle swarm for transformer oil diagnosis by dissolved gas analysis

F Guerbas, Y Benmahamed, Y Teguar, RA Dahmani… - Scientific Reports, 2024 - nature.com
The lifetime of power transformers is closely related to the insulating oil performance. This
latter can degrade according to overheating, electric arcs, low or high energy discharges …

Fault diagnosis of transformer using artificial intelligence: A review

Y Zhang, Y Tang, Y Liu, Z Liang - Frontiers in Energy Research, 2022 - frontiersin.org
Transformer is one of the important components of the power system, capable of transmitting
and distributing the electricity generated by renewable energy sources. Dissolved Gas …

[HTML][HTML] Designing efficient and sustainable predictions of water quality indexes at the regional scale using machine learning algorithms

A Derdour, A Jodar-Abellan, MÁ Pardo, SSM Ghoneim… - Water, 2022 - mdpi.com
Water quality and scarcity are key topics considered by the Sustainable Development Goals
(SDGs), institutions, policymakers and stakeholders to guarantee human safety, but also …

Traditional fault diagnosis methods for mineral oil‐immersed power transformer based on dissolved gas analysis: Past, present and future

A Nanfak, E Samuel, I Fofana, F Meghnefi… - IET …, 2024 - Wiley Online Library
A key factor in ensuring the efficient and safe operation of power transformers is the early
and accurate diagnosis of incipient faults. Among the tools available to achieve this goal …