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
Link To Document :
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