Title :
De-noising of partial discharge signal using eigen-decomposition technique
Author :
Abdel-Galil, T.K. ; El-Hag, Ayman H. ; Gaouda, A.M. ; Salama, M.M.A. ; Bartnikas, R.
Author_Institution :
SNC LAVALIN ATP, Toronto, ON
fDate :
12/1/2008 12:00:00 AM
Abstract :
The Rogowski coil method for the measurements and detection of PD signals represents a cost effective and practical way to measure PD signals in electrical power apparatus; however it is subject to excessive noise pick-up because of its inductive nature. This paper discusses the implementation of a de-noising algorithm using eigen-decomposition approach, which can be utilized in order to minimize the extraneous noise encountered with on-line tests in the field. The proposed algorithm possesses the inherent advantage of decomposing the signal space and separates it from the noise subspaces. Results discussed in the paper demonstrate the performance of the proposed technique for both simulated and experimental PD signals.
Keywords :
eigenvalues and eigenfunctions; partial discharges; power apparatus; signal denoising; signal detection; Rogowski coil method; eigendecomposition technique; electrical power apparatus; partial discharge signal; signal denoising; signal detection; Coils; Costs; Electric variables measurement; Noise measurement; Noise reduction; Partial discharge measurement; Partial discharges; Power measurement; Signal detection; Testing; Partial discharge, detection, noise, Eigen value decomposition;
Journal_Title :
Dielectrics and Electrical Insulation, IEEE Transactions on
Conference_Location :
12/1/2008 12:00:00 AM
DOI :
10.1109/TDEI.2008.4712670