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 Jin, 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 developing …
links in electricity grids. While extensive effort has been invested by industry in developing …
[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 …
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 …
Power transformer fault diagnosis based on a self-strengthening offline pre-training model
M Zhong, S Yi, J Fan, Y Zhang, G He, Y Cao… - … Applications of Artificial …, 2023 - Elsevier
Accurate transformer fault diagnosis is crucial for maintaining the power system stability.
Due the complex operation condition of the transformer, its faults are with the characteristic …
Due the complex operation condition of the transformer, its faults are with the characteristic …
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 …
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 …
Improved intelligent methods for power transformer fault diagnosis based on tree ensemble learning and multiple feature vector analysis
This paper discusses the impact of the feature input vector on the performance of dissolved
gas analysis-based intelligent power transformer fault diagnosis methods. For this purpose …
gas analysis-based intelligent power transformer fault diagnosis methods. For this purpose …
Spectral proper orthogonal decomposition and machine learning algorithms for bearing fault diagnosis
Vibration analysis has been extensively exploited for bearing fault diagnosis. However,
signal acquisition is quite expensive since external hardware is required. Moreover, for …
signal acquisition is quite expensive since external hardware is required. Moreover, for …
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 …