Assessment of utility of the corona audible signal in the diagnostic process of the technical condition of UHV transmission lines

• Autorzy: Wszołek T.
• Języki publikacji: EN

Abstrakty

EN

The paper deals with application of neural network techniques to recognition of typical damages of the transmission circuit elements in UHV power lines. The damage indicator is the acoustic signal generated by the corona effect, the intensity of which increases as a result of damage or contamination of the conductor surface. The primary difficulty in the diagnostic process is the necessity to distinguish between the signals generated by the surface damages and contaminations. The problem can not be solved neither by the analysis of RF interference signal nor by the classical methods of the acoustic signal analysis. Particular attention has been focused on the parametrization of the acoustic signal of corona effect and selection of distinctive features, which could be useful in distinguishment of the origins of the increased corona effect in dry conductor surface conditions. For that task the aggregation analysis has been applied, in particular the possibilities offered by "Statistica"Ž software package. The data used in the analysis has been obtained from laboratory studies in Institute of Power Engineering in Warsaw, where typical surface damages and contaminations of the transmission line elements have been simulated.

Słowa kluczowe

EN

corona noise; diagnosis; acoustics; cluster analysis; neural network

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2004
• Tom: Vol. 29, no. 2
• Strony: 297--308
• Opis fizyczny: Bibliogr. 6 poz., fot., tab., wykr.

Twórcy

autor

Wszołek T.

• University of Mining and Metallurgy, Department of Mechanics and Vibroacoustics, Al. Mickiewicza 30, 30-059 Kraków, Poland

Bibliografia

• [1] ENGEL Z., WSZOŁEK T., Audible noise of transmission lines caused by the corona effect: analysis, modelling, prediction, Applied Acoustics, 47, 2, 149–163 (1996).
• [2] TADEUSIEWICZ R., WSZOŁEK T., IZWORSKI A., WSZOŁEK W., Recognition and diagnosing of the technical condition of AN UHV transmission line using the acoustic signal of the corona process, Inter-Noise 99, Fort Lauderdale, Fl., USA, Proceedings, pp. 87–90.
• [3] TANABE K., Hum noise performance of 6,8,10 conductor bundles for 1000 kV transmission lines at the Akagi Test site: A comparative study with cage data, IEEE Transactions on Power Delivery, 6, 4 (1991).
• [4] Transmission line reference book – 345 kV and above, Second Edition. EPRI, Palo Alto, CA, pp. 267–272.
• [5] TADEUSIEWICZ R., WSZOLEK T., IZWORSKI A., WSZOLEK W., Recognition of defects in high voltage transmission lines using the acoustic signal of corona effect, 2000 IEEE Workshop on Neural Networks for Signal Processing, Sydney Australia, 11–13 December 2000.
• [6] WSZOŁEK T., Badanie zjawisk wibroakustycznych w urządzeniach i systemach elektroenergetycznych wysokich napięć, grant KBN nr 7T 07B 01314, KMiW AGH: 1998–2000.