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2014 | 125 | 4A | A-93-A-98
Article title

Automatic Detection of Long-Term Audible Noise Indices from Corona Phenomena on UHV AC Power Lines

Content
Title variants
Languages of publication
EN
Abstracts
EN
One of the most important tasks in outdoor acoustic monitoring stations is automatic extraction of the measured signal parameters. In case of corona discharge noise from ultra-high voltage alternating current (UHV AC) power lines it is necessary to select properly the corona audible noise (CAN) parameters to be monitored for noise indicators calculation, as the monitored signal and the background noise strongly fluctuate. A combined selection of distinctive features of CAN is necessary in order to distinguish the actual signal from the external interference. The vast amount of recorded data is difficult to store and process. Therefore, particular attention was devoted to define of the collected parameters used for automatic calculation of the CAN long-term noise indicators. In addition, several new CAN parameters were introduced, including spectral moments, spectral coefficients of tonal components contribution, and power coefficients in selected frequency bands; as it allowed more efficient selection of samples with non-zero contribution from CAN. The artificial neural network was applied for final classification of the measured samples. Selected and properly filtered samples provided the basis for calculations of long-term noise indicators. Efficiency of the said method was tested for the measurement sections with the recorded sound signal and aural qualification of the CAN intensity.
Keywords
EN
Publisher

Year
Volume
125
Issue
4A
Pages
A-93-A-98
Physical description
Dates
published
2014-04
Contributors
author
  • AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, Department of Mechanics and Vibroacoustics, Al. A. Mickiewicza 30, 30-059 Krakow, Poland
  • AGH University of Science and Technology, Faculty of Mechanical Engineering and Robotics, Department of Mechanics and Vibroacoustics, Al. A. Mickiewicza 30, 30-059 Krakow, Poland
References
  • [1] Electric Power Research Institute, Transmission Line Reference Book - 345 kV and Above, second edition, F. Weidner&Son, Palo Alto 1982, p. 267
  • [2] Official Journal of the European Communities, Directive 2002/49/WE of the European Parliament and of the Council of 25 June 2002 relating to the assessment and management of environmental noise L189, 12 (2002)
  • [3] T. Wszołek, M. Kłaczyński, Archiv. Acoust. 34, 3 (2009)
  • [4] M. Kłaczyński, T. Wszołek, Acta Phys. Pol. A 123, 6 (2013), doi:10.12693/APhysPolA.123.1024
  • [5] V.L. Chartier, R.D. Stearns, IEEE Trans. Power App. Syst. 100, 1 (1981)
  • [6] T. Wszołek, Electr. Rev. 10, (2008), (in Polish)
  • [7] T. Wszołek, R. Tadeusiewicz, in: 50th Open Seminar of Acoustics, Szczyrk-Gliwice 2003, p. 512
  • [8] T. Wszołek, R. Tadeusiewicz, in: 13th Int. Congress Sound Vibration, Vienna 2006
  • [9] T. Kazuo, IEEE Trans. Power Deliv. 6, 4 (1991)
  • [10] R. Nisbet, J. Elder, G. Miner, Handbook of Statistical Analysis and Data Mining Applications Elsevier, 2009
  • [11] T. Wszołek, Archiv. Acoust. 34, 1 (2009)
  • [12] R. Tadeusiewicz, Neural Networks, AOW, Warszawa 1993, (in Polish)
Document Type
Publication order reference
Identifiers
YADDA identifier
bwmeta1.element.bwnjournal-article-appv125n4a18kz
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