局放On-line detection and measurement of partial discharge signals in a noisy environment.pdfVIP
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1162 A. M. Gaouda et al.: On-Line Detection and Measurement of Partial Discharge Signals in a Noisy Environment
On-Line Detection and Measurement of Partial
Discharge Signals in a Noisy Environment
A. M. Gaouda
Department of Electrical Engineering
United Arab Emirates University, Al Ain, UAE
Ayman El-Hag
Department of Electrical Engineering
American University of Sharjah, Sharjah, UAE
T. K. Abdel-Galil
King Fahd University of Petroleum and Minerals
Dhahran, Saudi Arabia
M. M. A. Salama and R. Bartnikas
Department of Electrical and Computer Engineering
University of Waterloo, Waterloo, Ontario, Canada
ABSTRACT
In extracting partial discharge (PD) signals embedded in excessive noise, the need for an
online and automated tool becomes a crucial necessity. One of the recent approaches
that have gained some acceptance within the research arena is the Wavelet multi-
resolution analysis (WMRA). However selecting an accurate mother wavelet, defining
dynamic threshold values and identifying the resolution levels to be considered in the PD
extraction from the noise are stil
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