Effective IoT-based deep learning platform for online fault diagnosis of power transformers against cyberattacks and data uncertainties

M Elsisi, MQ Tran, K Mahmoud, DEA Mansour… - Measurement, 2022 - Elsevier
The distribution of the power transformers at a far distance from the electrical plants
represents the main challenge against the diagnosis of the transformer status. This paper …

Reliable estimation for health index of transformer oil based on novel combined predictive maintenance techniques

M Badawi, SA Ibrahim, DEA Mansour… - IEEE …, 2022 - ieeexplore.ieee.org
Transformer oil insulation condition may be deteriorated due to electrical and thermal faults,
which may lead to transformer failure and system outage. In this regard, the first part of this …

Research progress on low dielectric constant modification of cellulose insulating paper for power transformers

W Wei, H Chen, J Zha, Y Zhang - Frontiers of Chemical Science and …, 2023 - Springer
Because of the increase in the transmission voltage levels, the demand for insulation
reliability of power transformers has increasingly become critical. Cellulose insulating paper …

Novel control strategy for enhancing microgrid operation connected to photovoltaic generation and energy storage systems

D Emara, M Ezzat, AY Abdelaziz, K Mahmoud… - Electronics, 2021 - mdpi.com
Recently, the penetration of energy storage systems and photovoltaics has been
significantly expanded worldwide. In this regard, this paper presents the enhanced …

Condition assessment of natural ester–mineral oil mixture due to transformer retrofilling via sensing dielectric properties

HS Karaman, DEA Mansour, M Lehtonen… - Sensors, 2023 - mdpi.com
Mineral oil (MO) is the most popular insulating liquid that is used as an insulating and
cooling medium in electrical power transformers. Indeed, for green energy and …

Dielectric properties of electrical insulating liquids for high voltage electric devices in a time-varying electric field

P Havran, R Cimbala, J Kurimský, B Dolník… - Energies, 2022 - mdpi.com
The motivation to improve components in electric power equipment brings new proposals
from world-renowned scientists to strengthen them in operation. An essential part of every …

Enhancing weather-related outage prediction and precursor discovery through attention-based multi-level modeling

M Alqudah, Z Obradovic - IEEE Access, 2023 - ieeexplore.ieee.org
Electric grid continually monitors spatiotemporal data from sparse service areas. As power
systems grow and get more complex, and with the deployment of more sensors and data …

A new method for estimating transformer health index based on ultraviolet-visible spectroscopy

MMF Darwish, MHA Hassan… - … Middle East Power …, 2022 - ieeexplore.ieee.org
The condition assessment of power transformers by evaluating the state of their insulating
system is of great importance according to the electrical utilities. Since, as early as the …

Thermal and dielectric analysis of an ester-based MgO nanofluid

MM Emara, GD Peppas, TE Tsovilis… - … on Dielectrics and …, 2023 - ieeexplore.ieee.org
Magnesium oxide (MgO) nanoparticles (NPs) are used for nanofluid preparation in an effort
to investigate their dielectric response and thermal properties. The matrix oil for the prepared …

Investigating an electro-bio-chemical phytoremediation of multi-metal polluted soil by maize and sunflower using RSM-based optimization methodology

A Mohrazi, R Ghasemi-Fasaei, A Mojiri… - … and Experimental Botany, 2023 - Elsevier
Accumulation of heavy metals (HMs) in soil has become a serious environmental problem
due to various anthropogenic activities. Phytoremediation is one of the most cost-effective …