Simplifying Risk Analysis to Determine the Influence of Wind Turbines to the Electric Field of a DVOR Antenna Using Artificial Neural Networks

Abstract

In aviation, an aircraft determines its position by the use of electromagnetic signals from terrestrial antennas. Therefore, these signals should be disturbed as few as possible while propagating towards the aircraft. This can be ensured by a protection zone around the transmitters, in which no buildings are allowed. However, the location of the antennas is becoming increasingly interesting for operators of wind turbines. In order to be able to estimate the risk of wind turbines disturbing the antenna signals, many simulations and measurements have to be carried out. This paper demonstrates how artificial neural networks can be used to reduce the complexity of such an investigation by performing only a part of the simulations and predicting the results of the remaining ones.