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Tytuł artykułu

Prediction and assessment of exposure to electromagnetic field during a helicopter flight

Wybrane pełne teksty z tego czasopisma
Identyfikatory
Warianty tytułu
Przewidywanie i ocena ekspozycji na pole elektromagnetyczne podczas lotu helikopterem
Języki publikacji
EN
Abstrakty
EN
The paper present the research concerning the value of the electric component of the electromagnetic (EM) energy determined by NHT3DL meter by Microrad with the 01E measuring probe during flight of Robinson R44 Raven helicopter. The point of reference for the recorded measurement was the normative limits of the electromagnetic field (EMF), which can influence a pilot in the course of a flight. Selected studies of the maximum value recorded by the meter was E = 7.68 V/m when landing at an airfield equipped with the VHF (Very High Frequency) omnidirectional radio range (VOR) approach system. The developed model of neural networks is used to predict the value of electric field exposure in the context of flight safety analysis.
PL
W artykule przedstawiono badania dotyczące wartości składowej elektrycznej energii elektromagnetycznej (EM) wyznaczonej miernikiem NHT3DL firmy Microrad z sondą pomiarową 01E podczas lotu śmigłowca Robinson R44 Raven. Punktem odniesienia dla zarejestrowanego pomiaru były granice normatywne pola elektromagnetycznego (PEM), które może oddziaływać na pilota w trakcie lotu. W wybranych pomiarach maksymalna wartość zarejestrowana przez miernik wynosiła E = 7.68 V/m podczas lądowania na lotnisku wyposażonym w system podejścia dookólnego VHF (Very High Frequency) -VOR. Opracowany model sieci neuronowych służy do przewidywania wartości ekspozycji pola elektrycznego w kontekście analizy bezpieczenstwa lotów.
Rocznik
Strony
96--99
Opis fizyczny
Bibliogr. 17 poz., rys.
Twórcy
  • The Institute of Technical Sciences and Aviation, The State School of Higher Education in Chełm, Pocztowa 54, 22-100 Chełm
Bibliografia
  • [1] Michałowska J., etal., Assessment of Training Aircraft Crew Exposure to Electromagnetic Field caused by Radio Navigation Devices, Energies, vol. 14, no. 1, (2021)
  • [2] Michałowska J., etal., Monitoring the Risk of the Electric Component Imposed on a Pilot During Light Aircraft Operations in a High-Frequency Electromagnetic Field, Sensors, vol.19, no. 24, (2019)
  • [3] Kieliszek J., e t. al., Assessment of the Electromagnetic Field Exposure during the Use of Portable Radios in the PRZEGLĄD ELEKTROTECHNICZNY, ISSN 0033-2097, R. 98 NR 1/2022 99 Context of Potential Health Effects, Energies, vol. 13, no. 23, (2020)
  • [4] Michałowska J., etal., Monitoring of the Specific Absorption Rate in Terms of Electromagnetic Hazards, Journal of Ecological Engineering, vol. 21, issue. 1, (2020)
  • [5] Gas P., etal., SAR optimization for multi-dipole antenna array with regard to local hyperthermia, Przeglad Elektrotechniczny, vol. 95, no. 1, (2019), 17-20
  • [6] Tofil A., et. al., Cross wedge rolling with upsetting, Archives of Metallurgy and Materials, vol 58, Issue 4, (2013), 1191-1196
  • [7] Gontarz A., et. al., Numerical analysis of unconventional forging process of hollowed shaft from Ti-6Al-4V alloy, Journal of Shanghai Jiaotong University (Science),Volume 16, Issue 2, (2011), 157-161
  • [8] Pytka J., et. al., Application of GNSS/INS and an Optical Sensor for Determining Airplane Takeoff and Landing Performance on a Grassy Airfield, Sensors, vol. 19, no. 1, (2020)
  • [9] Przystupa K., et. al., Analysis of the quality of uninterruptible power supply using a UPS, 2018 Applications of Electromagnetics in Modern Techniques and Medicine, (2018), 191–194
  • [10] Pytka J., et. al., IMUMETER – A Convolution Neural Network Based Sensor For Measurement of Aircraft Ground Performance, Sensors, ( 2021)
  • [11] Michałowska J., et. al., Identification of the Electromagnetic Field Strength in Public Spaces and During Travel,. Applications of Electromagnetics in Modern Engineering and Medicine (PTZE), (2019), 121-124
  • [12] Kozak J., et. al., Experimental Results of a 15 kV, 140 A Superconducting Fault Current Limiter, IEEE Transactions on Applied Superconductivity, Volume: 27, Issue: 4, (2017)
  • [13] Vasylkiv N., et. al., The control system of the profile of temperature field, 2009 IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, (2009), 201-206
  • [14] Kochan R., et. al., Approaches of voltage divider development for metrology verification of ADC, IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS), Vol. 1, (2013), 70-75
  • [15] Kingma D., et. al., A method for stochastic optimization,. Proceedings of the 3rd International Conference on Learning Representations, San Diego, CA, USA, (2015)
  • [16] Ignatov A., Real-time human activity recognition from accelerometer data using Convolutional Neural Networks, Appl. Soft Comput., 62, (2018), 915–922.
  • [17] Michalowska J., et. al., Exposure to Electromagnetic Fields in the Surrounding Area of Microtomograph for the Frequency of 50 Hz,. IEEE EUROCON -17th International Conference on Smart Technologies, (2017), 555-557
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ba0aaf91-868e-4c96-a3bb-d2751e37ae50
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