DocumentCode
2353465
Title
Enhanced partial discharge de-noising technique using eigen-decomposition
Author
Abdel-Galil, T.K. ; El-Hag, A.H. ; Salama, M.M.A. ; Bartnikas, R.
Author_Institution
King Fahd Univ. of Pet. & Miner., Dhahran
fYear
2006
fDate
11-14 June 2006
Firstpage
294
Lastpage
297
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
coils; costing; eigenvalues and eigenfunctions; partial discharge measurement; power apparatus; signal denoising; signal detection; signal representation; PD signal detection; Rogowski coil; cost effective approach; costing; de-noising algorithm; eigen-decomposition; partial discharge measurement; power apparatus; signal decomposition; Coils; Costs; Electric variables measurement; Noise measurement; Noise reduction; Partial discharge measurement; Partial discharges; Power measurement; Signal detection; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Insulation, 2006. Conference Record of the 2006 IEEE International Symposium on
Conference_Location
Toronto, Ont.
ISSN
1089-084X
Print_ISBN
1-4244-0333-2
Type
conf
DOI
10.1109/ELINSL.2006.1665315
Filename
1665315
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