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Conventional methods of dissolved gas analysis using oil-immersed power transformer for fault diagnosis: A review
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 …
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** …
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 …
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
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 …
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
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 …
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
Reliable operation of oil-immersed power transformers is crucial for electrical transmission
and distribution networks. However, the aging of high voltage assets including power …
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 …
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 …
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
Water quality and scarcity are key topics considered by the Sustainable Development Goals
(SDGs), institutions, policymakers and stakeholders to guarantee human safety, but also …
(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 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 …
and accurate diagnosis of incipient faults. Among the tools available to achieve this goal …