Details
| Originalsprache | Englisch |
|---|---|
| Titel des Sammelwerks | EMC Europe 2018 |
| Untertitel | 2018 International Symposium on Electromagnetic Compatibility |
| Herausgeber (Verlag) | Institute of Electrical and Electronics Engineers Inc. |
| Seiten | 283-287 |
| Seitenumfang | 5 |
| ISBN (elektronisch) | 9781467396974 |
| Publikationsstatus | Veröffentlicht - 5 Okt. 2018 |
| Veranstaltung | 2018 International Symposium on Electromagnetic Compatibility: EMC Europe 2018 - Amsterdam, Niederlande Dauer: 27 Aug. 2018 → 30 Aug. 2018 |
Publikationsreihe
| Name | IEEE International Symposium on Electromagnetic Compatibility |
|---|---|
| Band | 2018-August |
| ISSN (Print) | 1077-4076 |
| ISSN (elektronisch) | 2158-1118 |
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.
ASJC Scopus Sachgebiete
- Physik und Astronomie (insg.)
- Physik der kondensierten Materie
- Ingenieurwesen (insg.)
- Elektrotechnik und Elektronik
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- BibTex
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EMC Europe 2018: 2018 International Symposium on Electromagnetic Compatibility. Institute of Electrical and Electronics Engineers Inc., 2018. S. 283-287 8485040 (IEEE International Symposium on Electromagnetic Compatibility; Band 2018-August).
Publikation: Beitrag in Buch/Bericht/Sammelwerk/Konferenzband › Aufsatz in Konferenzband › Forschung › Peer-Review
}
TY - GEN
T1 - Simplifying Risk Analysis to Determine the Influence of Wind Turbines to the Electric Field of a DVOR Antenna Using Artificial Neural Networks
AU - Burghardt, Felix
AU - Sandmann, Sergei
AU - Garbe, Heyno
N1 - Publisher Copyright: © 2018 IEEE. Copyright: Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/10/5
Y1 - 2018/10/5
N2 - 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.
AB - 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.
KW - artificial neural network
KW - backpropagation
KW - DVOR
KW - prediction
KW - risk analysis
KW - wind turbines
UR - http://www.scopus.com/inward/record.url?scp=85056146687&partnerID=8YFLogxK
U2 - 10.1109/EMCEurope.2018.8485040
DO - 10.1109/EMCEurope.2018.8485040
M3 - Conference contribution
AN - SCOPUS:85056146687
T3 - IEEE International Symposium on Electromagnetic Compatibility
SP - 283
EP - 287
BT - EMC Europe 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 International Symposium on Electromagnetic Compatibility
Y2 - 27 August 2018 through 30 August 2018
ER -