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Emission-based condition monitoring technique for ZnO surge arrester

Wong, K. L., Xiang, Yong and Nahavandi, Saeid 2004, Emission-based condition monitoring technique for ZnO surge arrester, in Seventh IASTED International Conference on Power and Energy Systems : special theme: distributed energy and demand response ; November 28 - December 1, 2004, Clearwater Beach, FL, USA ; [proceedings], Acta Press, Anaheim, Calif., pp. 234-237.

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Title Emission-based condition monitoring technique for ZnO surge arrester
Author(s) Wong, K. L.
Xiang, Yong
Nahavandi, Saeid
Conference name IASTED International Conference on Power and Energy Systems
Conference location Clearwater Beach, Florida
Conference dates 28 November - 1 December 2004
Title of proceedings Seventh IASTED International Conference on Power and Energy Systems : special theme: distributed energy and demand response ; November 28 - December 1, 2004, Clearwater Beach, FL, USA ; [proceedings]
Editor(s) Domijan. Jr, A.
Publication date 2004
Start page 234
End page 237
Publisher Acta Press
Place of publication Anaheim, Calif.
Keyword(s) surge arrester
surface pollution
emission-basedmonitoring system
Summary In this paper, electromagnetic emission at the frequency range of 30MHz to 300MHz is used to detect physical defects on the 22kV outdoor zinc-oxide (ZnO) surge arresters. Different weather conditions combining with artificially created pollution were produced in a laboratory environment and measurements were recorded over a fixed period of time. Pollution due to fine dust particles has been created according to IEC standard under both wet and dry conditions. The aim is to detect the defects (bushing damage) when the surge arrester is subjected to various weather and surface condition. The collected electromagnetic signals were sampled and analyzed using analysis tools such as the autocorrelation coefficient and Wigner-Ville distribution. The results from the present paper indicate that electromagnetic radiation from the defects on surge arrester combining with the adequate analysis tools can be used as a valuable diagnostic tool for power system operator.
ISBN 0889864497
9780889864498
Language eng
Field of Research 090699 Electrical and Electronic Engineering not elsewhere classified
HERDC Research category E1 Full written paper - refereed
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005478

Document type: Conference Paper
Collection: School of Engineering and Technology
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