Advances in DGA based condition monitoring of transformers: A review
SA Wani, AS Rana, S Sohail, O Rahman… - … and Sustainable Energy …, 2021 - Elsevier
Abstract Dissolved Gas Analysis (DGA) is a standout diagnostic strategy to recognise
incipient faults and monitor the condition of oil-immersed transformers. It correlates the …
incipient faults and monitor the condition of oil-immersed transformers. It correlates the …
Feature selection techniques in the context of big data: taxonomy and analysis
HM Abdulwahab, S Ajitha, MAN Saif - Applied Intelligence, 2022 - Springer
Abstract Recent advancements in Information Technology (IT) have engendered the rapid
production of big data, as enormous volumes of data with high dimensional features grow …
production of big data, as enormous volumes of data with high dimensional features grow …
Fault diagnosis of bearing in wind turbine gearbox under actual operating conditions driven by limited data with noise labels
N Huang, Q Chen, G Cai, D Xu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The fault characteristics of the rolling bearings of wind turbine gearboxes are unstable under
actual operating conditions. Problems such as inadequate fault sample data, imbalanced …
actual operating conditions. Problems such as inadequate fault sample data, imbalanced …
Classification of insulators using neural network based on computer vision
SF Stefenon, MP Corso, A Nied… - IET Generation …, 2022 - Wiley Online Library
Insulators of the electrical power grid are usually installed outdoors, so they suffer from
environmental stresses, such as the presence of contamination. Contamination can increase …
environmental stresses, such as the presence of contamination. Contamination can increase …
Fault diagnosis of rolling bearing using marine predators algorithm-based support vector machine and topology learning and out-of-sample embedding
X Chen, X Qi, Z Wang, C Cui, B Wu, Y Yang - Measurement, 2021 - Elsevier
The long-term safe operation of rotating machinery is closely related to the stability of rolling
bearings. This paper proposes a rolling bearing fault diagnosis method based on refined …
bearings. This paper proposes a rolling bearing fault diagnosis method based on refined …
Identification and application of machine learning algorithms for transformer dissolved gas analysis
UM Rao, I Fofana, K Rajesh… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Power transformers represent one of the most abundant and expensive components in the
electric power industry. Dissolved gas analysis (DGA) of transformer is the most widely …
electric power industry. Dissolved gas analysis (DGA) of transformer is the most widely …
Feature selection and its use in big data: challenges, methods, and trends
M Rong, D Gong, X Gao - Ieee Access, 2019 - ieeexplore.ieee.org
Feature selection has been an important research area in data mining, which chooses a
subset of relevant features for use in the model building. This paper aims to provide an …
subset of relevant features for use in the model building. This paper aims to provide an …
A power transformer fault diagnosis method-based hybrid improved seagull optimization algorithm and support vector machine
Y Wu, X Sun, Y Zhang, X Zhong, L Cheng - Ieee Access, 2021 - ieeexplore.ieee.org
The method of Support Vector Machine (SVM) based on Dissolved Gas Analysis (DGA) has
been studied in the field of power transformer fault diagnosis. However, there are still some …
been studied in the field of power transformer fault diagnosis. However, there are still some …
A review of health assessment techniques for distribution transformers in smart distribution grids
QT Tran, K Davies, L Roose, P Wiriyakitikun… - Applied Sciences, 2020 - mdpi.com
Due to the large number of distribution transformers in the distribution grid, the status of
distribution transformers plays an important role in ensuring the safe and reliable operation …
distribution transformers plays an important role in ensuring the safe and reliable operation …
A fault diagnosis model of power transformers based on dissolved gas analysis features selection and improved krill herd algorithm optimized support vector machine
Y Zhang, X Li, H Zheng, H Yao, J Liu, C Zhang… - Ieee …, 2019 - ieeexplore.ieee.org
In this paper, a set of dissolved gas analysis (DGA) new feature combinations is selected as
input from the mixed DGA feature quantity, and an improved krill herd (IKH) algorithm …
input from the mixed DGA feature quantity, and an improved krill herd (IKH) algorithm …