Accounting for Nonuniformity of the Electromagnetic Field when Calibrating Thin Dipole and Loop Antennas in Four-Wire Sources

2021 ◽  
Author(s):  
V. I. Lukyanov ◽  
M. V. Vasilyeva
Keyword(s):  
Electromagnetic Field ◽  
Loop Antennas

Consider the nonuniformity of the electromagnetic field when calibrating thin dipole and loop antennas in electromagnetic field source based on a four-wire transmission line

Metrologiya ◽  
2021 ◽  
pp. 60-74
Author(s):  
V. I. Lukyanov ◽  
M. V. Vasilyeva
Keyword(s):  
Electromagnetic Field ◽  
Transmission Line ◽  
Transmission Lines ◽  
Field Source ◽  
Electric And Magnetic Fields ◽  
Field Uniformity ◽  
Approximation Formulas ◽  
Infinite Line ◽  
Calibration Accuracy ◽  
Loop Antennas

The influence of nonuniformity of electric and magnetic fields on the calibration accuracy of dipole and loop antennas in field sources based on four-wire transmission lines is theoretically investigated. The paper proposes to take into account the influence of the nonuniformity of the electromagnetic field of a four-wire source when calibrating thin dipole and loop antennas using the equivalence coefficients. The use of these coefficients, taking into account the distributions of the field in the source and the current on the antenna conductors, can significantly weaken the requirement for field uniformity when calibrating antennas. For some common types of antennas, formulas are derived for the equivalence coefficients in the approximation of a four-wire source by an infinite line. Approximation formulas, simplified for engineering calculations, are obtained.

scholarly journals An Intelligent Lightning Warning System Based on Electromagnetic Field and Neural Network

Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1275 ◽  
Author(s):  
Guoming Wang ◽  
Woo-Hyun Kim ◽  
Gyung-Suk Kil ◽  
Dae-Won Park ◽  
Sung-Wook Kim
Keyword(s):  
Neural Network ◽  
Electromagnetic Field ◽  
Electric Field ◽  
Prediction Accuracy ◽  
Back Propagation ◽  
Warning System ◽  
Back Propagation Algorithm ◽  
Threshold Method ◽  
Lightning Strikes ◽  
Loop Antennas

Prediction of lightning occurrence has significant relevance for reducing potential damage to electric installations, buildings, and humans. However, the existing lightning warning system (LWS) operates using the threshold method and has low prediction accuracy. In this paper, an intelligent LWS based on an electromagnetic field and the artificial neural network was developed for improving lightning prediction accuracy. An electric field mill sensor and a pair of loop antennas were designed to detect the real-time electric field and the magnetic field induced by lightning, respectively. The change rate of electric field, temperature, and humidity acquired 2 min before lightning strikes, were used for developing the neural network using the back propagation algorithm. After observing and predicting lightning strikes over six months, it was verified that the proposed LWS had a prediction accuracy of 93.9%.

Comparison of high- and low-frequency electromagnetic field analysis

1993 ◽  
Vol 3 (3) ◽  
pp. 363-371 ◽  
Author(s):  
A. Konrad ◽  
I. A. Tsukerman
Keyword(s):  
Electromagnetic Field ◽  
Low Frequency ◽  
Field Analysis

Energy, Information, and Superluminal Speed in Quantum Electrodynamics

2020 ◽  
pp. 27-33
Author(s):  
Boris A. Veklenko
Keyword(s):  
Electromagnetic Field ◽  
Perturbation Theory ◽  
Quantum Electrodynamics ◽  
Excited Atom ◽  
Standard Quantum ◽  
Energy Information

Without using the perturbation theory, the article demonstrates a possibility of superluminal information-carrying signals in standard quantum electrodynamics using the example of scattering of quantum electromagnetic field by an excited atom.

Sign in / Sign up

Export Citation Format

Share Document