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Oil spills detection from SAR Earth observations based on a hybrid CNN transformer networks.

Marine Pollution Bulletin, 2023
Oil spills are the main threats to marine and coastal environments. Due to the increase in the marine transportation and shipping industry, oil spills have increased in recent years.
Saeid Dehghani-Dehcheshmeh   +2 more
semanticscholar   +1 more source

On electric field distortion for breakdown mechanism of nanofilled transformer oil

International Journal of Electrical Power and Energy Systems, 2020
In this paper, a proposed breakdown mechanism of nanofilled transformer oil is presented. The proposed mechanism is based on electric filed distortion results from charge accumulation over the surfaces of nanoparticles when exposed to external electric ...
Mohamed E Ibrahim   +2 more
exaly   +2 more sources

Adsorption and sensing of CO and C2H2 by S-defected SnS2 monolayer for DGA in transformer oil: A DFT study

, 2020
Chalcogen vacancies in transition metal dichalcogenides (TMDs) play an important role to tune the electronic property of the whole system. In this work, we using density functional theory studied the S-defected behavior on the SnS2 monolayer and related ...
H. Cui   +3 more
semanticscholar   +1 more source

Gas sensing mechanism of dissolved gases in transformer oil on Ag–MoS2 monolayer: A DFT study

, 2020
Based on the density functional theory (DFT), the adsorption capabilities and electronic properties of Ag–MoS2 monolayer were discussed to fully discover the gas sensing performance to transformer oil decomposed gases (H2, CO, CH4, C2H6, C2H4 and C2H2 ...
Jingxuan Wang   +4 more
semanticscholar   +1 more source

A Hybrid ARIMA-LSTM-XGBoost Model with Linear Regression Stacking for Transformer Oil Temperature Prediction

Energies
Transformers are essential for voltage regulation and power distribution in electrical systems, and monitoring their top-oil temperature is crucial for detecting potential faults.
Xuemin Huang   +6 more
semanticscholar   +1 more source

Dissolved gas analysis in transformer oil using Sb-doped graphene: A DFT study

Applications of Surface Science, 2020
In order to improve the reliability of the transformer, reduce the maintenance cost of the transformer, online detection technology of transformer oil dissolved gases (H2, C2H2 and CH4) has become more important.
X. Gui   +4 more
semanticscholar   +1 more source

Preparation and surface engineering of CM-β-CD functionalized Fe3O4@TiO2 nanoparticles for photocatalytic degradation of polychlorinated biphenyls (PCBs) from transformer oil.

Journal of Hazardous Materials, 2020
The aim of the present research is to investigate the efficiency of surface-modified magnetic nanoparticles for photocatalytic degradation of PCBs from transformer oil.
Sanaz Khammar   +2 more
semanticscholar   +1 more source

Dissolved gas analysis in transformer oil using Pd catalyst decorated MoSe2 monolayer: A first-principles theory

Sustainable Materials and Technologies, 2019
Dissolved gas analysis (DGA) by high-sensitive gas sensors is an effective manner to estimate the operation status of electrical transformers. In this paper, based on first-principles calculations, a novel 2D material, Pd-doped MoSe2 (Pd-MoSe2) monolayer,
H. Cui   +3 more
semanticscholar   +1 more source

Optimization of transformer oil blended with natural ester oils using Taguchi-based grey relational analysis

, 2020
The objective of the work is to improve the performance of mineral oil. To enhance the performance,mineral oil is blended with natural ester oils such as sunflower oil, palm oil,rapeseed oil and Olive oil.
S. Senthilkumar   +6 more
semanticscholar   +1 more source

Pd-doped MoS2 monolayer: A promising candidate for DGA in transformer oil based on DFT method

Applications of Surface Science, 2019
Density functional theory (DFT) method was carried out to simulate the adsorption of three dissolved gases on Pd-doped MOS2 (Pd-MoS2) monolayer. We initially studied the possible structures of Pd-MoS2 monolayer and found that the Pd dopant preferred to ...
H. Cui   +3 more
semanticscholar   +1 more source

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