DocumentCode
3011479
Title
UHF sensor array for partial discharge location in transformers
Author
Sinaga, Herman H. ; Phung, B.T. ; Blackburn, T.R.
Author_Institution
Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia
fYear
2012
fDate
23-27 Sept. 2012
Firstpage
979
Lastpage
982
Abstract
The application of the ultra-high frequency (UHF) partial discharge (PD) detection method has proven effective in GIS. This method is now also being applied to detect PDs in oil-filled power transformers. In this paper, the localization of the PD source in transformer is discussed. This is achieved by applying an array of four sensors to capture the PD signals at the same time. To determine the PD location, two methods (first peak and cross-correlation) are used to determine the difference in time of arrival between sensor signals and followed by numerical triangulation. The sensor positions and array size influence the PD waveform patterns captured, and thus the accuracy of the PD localization. Experimental results and analysis indicate the first peak method yields better location accuracy than the cross correlation method. However, the traditional external acoustic detection method performs better than the UHF detection method under the same test configurations.
Keywords
UHF detectors; acoustic transducers; partial discharges; power transformers; sensor arrays; time-of-arrival estimation; GIS; PD localization; PD signals; PD waveform patterns; UHF PD detection method; UHF sensor array; array size influence; cross correlation method; external acoustic detection method; first peak method; numerical triangulation; oil-filled power transformers; partial discharge location; sensor positions; sensor signals; time of arrival; transformer PD source; ultra-high frequency partial discharge detection method; Accuracy; Acoustics; Arrays; Oil insulation; Partial discharges; Power transformer insulation; Localization; Partial discharge; Time difference of arrival (TDOA); Ultra high frequency;
fLanguage
English
Publisher
ieee
Conference_Titel
Condition Monitoring and Diagnosis (CMD), 2012 International Conference on
Conference_Location
Bali
Print_ISBN
978-1-4673-1019-2
Type
conf
DOI
10.1109/CMD.2012.6416318
Filename
6416318
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