A review of dissolved gas analysis measurement and interpretation techniques
Dissolved gas analysis (DGA) is used to assess the condition of power transformers. It uses
the concentrations of various gases dissolved in the transformer oil due to decomposition of …
the concentrations of various gases dissolved in the transformer oil due to decomposition of …
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 …
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 …
Accuracy improvement of power transformer faults diagnostic using KNN classifier with decision tree principle
O Kherif, Y Benmahamed, M Teguar… - IEEE …, 2021 - ieeexplore.ieee.org
Dissolved gas analysis (DGA) is the standard technique to diagnose the fault types of oil-
immersed power transformers. Various traditional DGA methods have been employed to …
immersed power transformers. Various traditional DGA methods have been employed to …
An intelligent system based on optimized ANFIS and association rules for power transformer fault diagnosis
This research work put forward an intelligent method for diagnosis and classification of
power transformers faults based on the instructive Dissolved Gas Analysis Method (DGAM) …
power transformers faults based on the instructive Dissolved Gas Analysis Method (DGAM) …
Power transformer fault diagnosis based on dissolved gas analysis by support vector machine
K Bacha, S Souahlia, M Gossa - Electric power systems research, 2012 - Elsevier
This paper presents an intelligent fault classification approach to power transformer
dissolved gas analysis (DGA). Support vector machine (SVM) is powerful for the problem …
dissolved gas analysis (DGA). Support vector machine (SVM) is powerful for the problem …
A taxonomy and experimental study on prototype generation for nearest neighbor classification
The nearest neighbor (NN) rule is one of the most successfully used techniques to resolve
classification and pattern recognition tasks. Despite its high classification accuracy, this rule …
classification and pattern recognition tasks. Despite its high classification accuracy, this rule …
A novel model based on wavelet LS-SVM integrated improved PSO algorithm for forecasting of dissolved gas contents in power transformers
Finding out the transformer incipient faults and their development trend has always been a
central issue for electric power companies. In this paper, a novel approach combing wavelet …
central issue for electric power companies. In this paper, a novel approach combing wavelet …
An AI-Layered with Multi-Agent Systems Architecture for Prognostics Health Management of Smart Transformers: A Novel Approach for Smart Grid-Ready Energy …
After the massive integration of distributed energy resources, energy storage systems and
the charging stations of electric vehicles, it has become very difficult to implement an efficient …
the charging stations of electric vehicles, it has become very difficult to implement an efficient …
[HTML][HTML] Adsorption and gas-sensing properties of C2H4, CH4, H2, H2O on metal oxides (CuO, NiO) modified SnS2 monolayer: A DFT study
Y Chen, Y Gui, X Chen - Results in Physics, 2021 - Elsevier
Detection of oil dissolved gases is of great significance to diagnose the diverse insulation
faults in oil-immersed transformers. Therefore, the Metal oxides (CuO, NiO) doped SnS 2 …
faults in oil-immersed transformers. Therefore, the Metal oxides (CuO, NiO) doped SnS 2 …