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 …
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 …
Accuracy improvement of transformer faults diagnostic based on DGA data using SVM-BA classifier
The main objective of the current work was to enhance the transformer fault diagnostic
accuracy based on dissolved gas analysis (DGA) data with a proposed coupled system of …
accuracy based on dissolved gas analysis (DGA) data with a proposed coupled system of …
Power transformer fault detection: A comparison of standard machine learning and autoML approaches
G Santamaria-Bonfil, G Arroyo-Figueroa… - Energies, 2023 - mdpi.com
A key component for the performance, availability, and reliability of power grids is the power
transformer. Although power transformers are very reliable assets, the early detection of …
transformer. Although power transformers are very reliable assets, the early detection of …
Complementary analysis for DGA based on Duval methods and furan compounds using artificial neural networks
Power transformers play an important role in electrical systems; being considered the core of
electric power transmissions and distribution networks, the owners and users of these assets …
electric power transmissions and distribution networks, the owners and users of these assets …
Research on hybrid feature selection method of power transformer based on fuzzy information entropy
S Yu, W Tan, C Zhang, Y Fang, C Tang, D Hu - Advanced Engineering …, 2021 - Elsevier
The data of dissolved gas in oil analysis (DGA) is uncertain affected by the influence of
transformer capacity and fault location, which makes transformer fault diagnosis model …
transformer capacity and fault location, which makes transformer fault diagnosis model …
An offline and online approach to the OLTC condition monitoring: A review
Transformer failures have a significant cost impact on the operation of an electrical network.
In many utilities, transformers have been operating for many years past their expected …
In many utilities, transformers have been operating for many years past their expected …
Recognition of combined defects with high-temperature overheating based on the dissolved gas analysis
O Shutenko, O Kulyk - Sādhanā, 2022 - Springer
The paper presents the results of a complex analysis of gas content in 259 high-voltage
transformers, in which overheating with temperatures above 700∘ C accompanied by …
transformers, in which overheating with temperatures above 700∘ C accompanied by …
Sensing incipient faults in power transformers using bi-directional long short-term memory network
Dissolved gas analysis (DGA) is a standard technique for detecting incipient faults in oil-
immersed power transformers. However, fault sensing accuracy depends on feature …
immersed power transformers. However, fault sensing accuracy depends on feature …