Impact of the weather factors on frequency-domain characteristics of the antennas used for EMC measurement in power systems

Qingmin Li, Li Zhang, Wah Hoon Siew, Wei Wang, J.D. Yan

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

Abstract

The weather factors with on-site EMC measurement may differ a lot from the standard calibration condition, so it is necessary to analyze the impact of weather factors, such as temperature, humidity and atmosphere pressure, on the measurement accuracy of the antennas. Based on experimental study, digital signal processing, improved vector fitting methods and artificial neural networks (ANN), a comprehensive strategy is presented to analyze and predict the impact of weather factors on antenna's characteristics. Experiments and digital signal processing technology are utilized to obtain the frequency response of an antenna under various weather conditions, and an improved vector fitting method is then proposed to acquire the transfer function of the antenna, while a BP neural network is constructed to establish the nonlinear mapping between the weather factors and the antenna's frequency-domain parameters. Experimental and analyzed results show that, the proposed methodology can cope with the concrete impact from weather factors, and thereby realize effective prediction of the antenna's frequency characteristics with regards to variation of the weather conditions.
LanguageEnglish
Title of host publication2009 Proceedings of the 44th International Universities Power Engineering Conference (UPEC)
Place of PublicationNew York
PublisherIEEE
Number of pages5
ISBN (Print)9781424468232
Publication statusPublished - 2009
EventThe 44th International Universities' Power Engineering Conference - Glasgow, United Kingdom
Duration: 1 Sep 20094 Sep 2009

Conference

ConferenceThe 44th International Universities' Power Engineering Conference
CountryUnited Kingdom
CityGlasgow
Period1/09/094/09/09

Fingerprint

Electromagnetic compatibility
Antennas
Digital signal processing
Neural networks
Frequency response
Transfer functions
Atmospheric humidity
Calibration
Concretes
Experiments

Keywords

  • power system measurement
  • artificial intelligence
  • backpropagation
  • electromagnetic compatibility
  • environmental factors
  • neural nets
  • power engineering computing

Cite this

Li, Q., Zhang, L., Siew, W. H., Wang, W., & Yan, J. D. (2009). Impact of the weather factors on frequency-domain characteristics of the antennas used for EMC measurement in power systems. In 2009 Proceedings of the 44th International Universities Power Engineering Conference (UPEC) New York: IEEE.
Li, Qingmin ; Zhang, Li ; Siew, Wah Hoon ; Wang, Wei ; Yan, J.D. / Impact of the weather factors on frequency-domain characteristics of the antennas used for EMC measurement in power systems. 2009 Proceedings of the 44th International Universities Power Engineering Conference (UPEC). New York : IEEE, 2009.
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abstract = "The weather factors with on-site EMC measurement may differ a lot from the standard calibration condition, so it is necessary to analyze the impact of weather factors, such as temperature, humidity and atmosphere pressure, on the measurement accuracy of the antennas. Based on experimental study, digital signal processing, improved vector fitting methods and artificial neural networks (ANN), a comprehensive strategy is presented to analyze and predict the impact of weather factors on antenna's characteristics. Experiments and digital signal processing technology are utilized to obtain the frequency response of an antenna under various weather conditions, and an improved vector fitting method is then proposed to acquire the transfer function of the antenna, while a BP neural network is constructed to establish the nonlinear mapping between the weather factors and the antenna's frequency-domain parameters. Experimental and analyzed results show that, the proposed methodology can cope with the concrete impact from weather factors, and thereby realize effective prediction of the antenna's frequency characteristics with regards to variation of the weather conditions.",
keywords = "power system measurement, artificial intelligence, backpropagation, electromagnetic compatibility, environmental factors, neural nets, power engineering computing",
author = "Qingmin Li and Li Zhang and Siew, {Wah Hoon} and Wei Wang and J.D. Yan",
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booktitle = "2009 Proceedings of the 44th International Universities Power Engineering Conference (UPEC)",
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Li, Q, Zhang, L, Siew, WH, Wang, W & Yan, JD 2009, Impact of the weather factors on frequency-domain characteristics of the antennas used for EMC measurement in power systems. in 2009 Proceedings of the 44th International Universities Power Engineering Conference (UPEC). IEEE, New York, The 44th International Universities' Power Engineering Conference, Glasgow, United Kingdom, 1/09/09.

Impact of the weather factors on frequency-domain characteristics of the antennas used for EMC measurement in power systems. / Li, Qingmin; Zhang, Li ; Siew, Wah Hoon; Wang, Wei ; Yan, J.D.

2009 Proceedings of the 44th International Universities Power Engineering Conference (UPEC). New York : IEEE, 2009.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

TY - GEN

T1 - Impact of the weather factors on frequency-domain characteristics of the antennas used for EMC measurement in power systems

AU - Li, Qingmin

AU - Zhang, Li

AU - Siew, Wah Hoon

AU - Wang, Wei

AU - Yan, J.D.

PY - 2009

Y1 - 2009

N2 - The weather factors with on-site EMC measurement may differ a lot from the standard calibration condition, so it is necessary to analyze the impact of weather factors, such as temperature, humidity and atmosphere pressure, on the measurement accuracy of the antennas. Based on experimental study, digital signal processing, improved vector fitting methods and artificial neural networks (ANN), a comprehensive strategy is presented to analyze and predict the impact of weather factors on antenna's characteristics. Experiments and digital signal processing technology are utilized to obtain the frequency response of an antenna under various weather conditions, and an improved vector fitting method is then proposed to acquire the transfer function of the antenna, while a BP neural network is constructed to establish the nonlinear mapping between the weather factors and the antenna's frequency-domain parameters. Experimental and analyzed results show that, the proposed methodology can cope with the concrete impact from weather factors, and thereby realize effective prediction of the antenna's frequency characteristics with regards to variation of the weather conditions.

AB - The weather factors with on-site EMC measurement may differ a lot from the standard calibration condition, so it is necessary to analyze the impact of weather factors, such as temperature, humidity and atmosphere pressure, on the measurement accuracy of the antennas. Based on experimental study, digital signal processing, improved vector fitting methods and artificial neural networks (ANN), a comprehensive strategy is presented to analyze and predict the impact of weather factors on antenna's characteristics. Experiments and digital signal processing technology are utilized to obtain the frequency response of an antenna under various weather conditions, and an improved vector fitting method is then proposed to acquire the transfer function of the antenna, while a BP neural network is constructed to establish the nonlinear mapping between the weather factors and the antenna's frequency-domain parameters. Experimental and analyzed results show that, the proposed methodology can cope with the concrete impact from weather factors, and thereby realize effective prediction of the antenna's frequency characteristics with regards to variation of the weather conditions.

KW - power system measurement

KW - artificial intelligence

KW - backpropagation

KW - electromagnetic compatibility

KW - environmental factors

KW - neural nets

KW - power engineering computing

UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5429402

M3 - Conference contribution book

SN - 9781424468232

BT - 2009 Proceedings of the 44th International Universities Power Engineering Conference (UPEC)

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Li Q, Zhang L, Siew WH, Wang W, Yan JD. Impact of the weather factors on frequency-domain characteristics of the antennas used for EMC measurement in power systems. In 2009 Proceedings of the 44th International Universities Power Engineering Conference (UPEC). New York: IEEE. 2009