[HTML][HTML] Preparation methods for graphene metal and polymer based composites for EMI shielding materials: state of the art review of the conventional and machine …

S Ayub, BH Guan, F Ahmad, MF Javed, A Mosavi… - Metals, 2021 - mdpi.com
Advancement of novel electromagnetic inference (EMI) materials is essential in various
industries. The purpose of this study is to present a state-of-the-art review on the methods …

[HTML][HTML] A prediction model for the performance of solar photovoltaic-thermoelectric systems utilizing various semiconductors via optimal surrogate machine learning …

H Alghamdi, C Maduabuchi, A Albaker, I Alatawi… - … Science and Technology …, 2023 - Elsevier
This research focuses on finding the best surrogate performance prediction model for a solar
photovoltaic-thermoelectric (PV-TE) module with different semiconductor materials. The …

Recurrent neural network based design of fractional order power system stabilizer for effective dam** of power oscillations in multimachine system

DU Sarkar, T Prakash - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The complexity of modern power systems has risen due to the growing demand for
electricity. To mitigate this problem, the role of the electric utility in supplying safe and …

Mitigation of the electric and magnetic fields of 500-kV overhead transmission lines

AZ El Dein, OE Gouda, M Lehtonen… - IEEE access, 2022 - ieeexplore.ieee.org
The electric and magnetic fields of overhead high voltage transmission lines are still a
critical problem for new construction because of their biological effects on the human body …

GPR-based EMI prediction for UAV's dynamic datalink

D Zhang, M Zhao, E Cheng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
The datalink of an unmanned aerial vehicle (UAV) is vulnerable to external electromagnetic
interference (EMI). The characteristic parameters of the EMI signal can be definitively …

[HTML][HTML] Prediction of metallic conductor voltage owing to electromagnetic coupling via a hybrid ANFIS and backtracking search algorithm

SH Aghay Kaboli, A Al Hinai, AH Al-Badi, Y Charabi… - Energies, 2019 - mdpi.com
The electromagnetic interference (EMI) generated by high voltage power systems can cause
a serious problem for nearby electrically conductive structures, such as railroads …

Minimum separation distance between transmission lines and underground pipelines for inductive interference mitigation

C Wang, X Liang, R Radons - IEEE Transactions on Power …, 2019 - ieeexplore.ieee.org
A method to determine the minimum horizontal separation distance between transmission
lines and underground pipelines for inductive electromagnetic interference mitigation under …

Investigation of factors affecting induced voltages on underground pipelines due to inductive coupling with nearby transmission lines

C Wang, X Liang, F Freschi - IEEE Transactions on Industry …, 2020 - ieeexplore.ieee.org
The induced voltage on underground pipelines is a critical parameter to consider for
equipment and personnel safety in the field. However, in the real life, such induced voltage …

Different approaches in calculating AC inductive interference from power lines on pipelines

G Lucca - IET Science, Measurement & Technology, 2018 - Wiley Online Library
When dealing with 50–60 Hz inductive electromagnetic interference from power lines on
pipelines, the key parameter is represented by the per unit length mutual impedance …

A neural network approach for the inductive coupling between overhead power lines and nearby metallic pipelines

L Czumbil, DD Micu, D Stet… - … on Fundamentals of …, 2016 - ieeexplore.ieee.org
An artificial intelligence (AI) based approach has been applied in order to investigate the
electromagnetic interference problems between high voltage overhead power lines (HV …