Artificial Neural Networks to Estimate the EMF ELF on Car Travelling near Power Transmission Line

O.A. Al-Sayegh and A.M. Qabazard (Kuwait)


Artificial neural network, ELF, EMF, intelligent sensor, power transmission line. GLOSSARY OF SYMBOLS eρ Earth resistivity I Conductor current R Radius of the loop ƒ Frequency (Hertz) (x, y) Observation point (X, Y) Position of conductor B Magnetic flux density (Tesla) σ Conductivity (Siemens per meter S/m) J Current density (Ampere per square meter)


Electromagnetic field (EMF) radiated emissions from Extremely Low Frequency (ELF) source power transmission line can produce interference on electric components at vehicle traveling at variable speed. The passenger vehicle may also have EMF problem health impact, which has been categorized as a new form of pollution as air and water pollution. This situation has been largely ignored by the industry, but it is hoped that this work will open up discussion and finding formulation capable to be designed to manufacture a new device for measuring the EMF at variable speed. In this paper, an artificial neural network (ANN) is developed to estimate the EMF. A set of near field measurements outside the vehicle were used to train ANN. Estimations of the EMF ELF for various distances from the a high tension power line are presented.

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