Advances in DGA based condition monitoring of transformers: A review
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 and classification of transformer faults based on novel meta-heuristic algorithm
Detecting transformer faults is critical to avoid the undesirable loss of transformers from
service and ensure utility service continuity. Transformer faults diagnosis can be determined …
service and ensure utility service continuity. Transformer faults diagnosis can be determined …
Adaptive dynamic meta-heuristics for feature selection and classification in diagnostic accuracy of transformer faults
Detection of transformer faults avoids the transformer's undesirable loss from service and
ensures utility service continuity. Diagnosis of transformer faults is determined using …
ensures utility service continuity. Diagnosis of transformer faults is determined using …
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 …
systems, and failures or hidden defects in power transformers can cause operational and …
Power transformer fault diagnosis based on DGA using a convolutional neural network with noise in measurements
Fault type diagnosis is a very important tool to maintain the continuity of power transformer
operation. Dissolved gas analysis (DGA) is one of the most effective and widely used …
operation. Dissolved gas analysis (DGA) is one of the most effective and widely used …
Hybrid feature selection approach for power transformer fault diagnosis based on support vector machine and genetic algorithm
T Kari, W Gao, D Zhao, K Abiderexiti… - IET Generation …, 2018 - Wiley Online Library
To further improve fault diagnosis accuracy, a new hybrid feature selection approach
combined with a genetic algorithm (GA) and support vector machine (SVM) is presented in …
combined with a genetic algorithm (GA) and support vector machine (SVM) is presented in …
Fault diagnosis of power transformers with membership degree
E Li, L Wang, B Song - IEEE Access, 2019 - ieeexplore.ieee.org
Power transformers are important equipment for power systems, and a dissolved gas
analysis (DGA) is widely used to detect incipient faults in oil-pregnant transformers. The …
analysis (DGA) is widely used to detect incipient faults in oil-pregnant transformers. The …
Partial discharge elimination in transformer oils by nanofluids: from theory to practice
A Hamed Mashhadzadeh, M Ghanbari… - Arabian Journal for …, 2023 - Springer
Partial discharge (PD) has been known as the main consequence of hydrogen (H2)
formation in transformer oils, the cause of serious damages to the equipment. Herein …
formation in transformer oils, the cause of serious damages to the equipment. Herein …
A transformer fault diagnosis model based on hybrid grey wolf optimizer and LS-SVM
B Zeng, J Guo, W Zhu, Z **ao, F Yuan, S Huang - Energies, 2019 - mdpi.com
Dissolved gas analysis (DGA) is a widely used method for transformer internal fault
diagnosis. However, the traditional DGA technology, including Key Gas method …
diagnosis. However, the traditional DGA technology, including Key Gas method …
Dynamic fault prediction of power transformers based on lasso regression and change point detection by dissolved gas analysis
J Jiang, R Chen, C Zhang, M Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Practical features of dissolved gases analysis (DGA) are selected and proposed from 62 key
gases combinations through maximal information coefficient (MIC) to minimize the …
gases combinations through maximal information coefficient (MIC) to minimize the …