Please use this identifier to cite or link to this item: https://doi.org/10.1109/TPWRD.2004.832398
Title: Analysis of UHF signal using prediction model
Authors: Chang, C. 
Chang, C.S. 
Jin, J.
Hoshino, T.
Hanai, M.
Kobayashi, N.
Issue Date: Oct-2004
Citation: Chang, C., Chang, C.S., Jin, J., Hoshino, T., Hanai, M., Kobayashi, N. (2004-10). Analysis of UHF signal using prediction model. IEEE Transactions on Power Delivery 19 (4) : 1579-1586. ScholarBank@NUS Repository. https://doi.org/10.1109/TPWRD.2004.832398
Abstract: With increasing interest in the reduction of cost for operation and maintenance of SF6 gas-insulated switchgear (GIS), various methods of condition monitoring have been developed and used in conjunction with highly sensitive sensors and advanced digital signal processing techniques. Detection of partial-discharge signals in GIS using ultra-high frequency (UHF) technique has gained wide acceptance in research and industry. Unlike approaches of fast Fourier transformation and discrete wavelet transformation (DWT), a novel method of using an adaptive linear combiner as a prediction model to analyze UHF signals is introduced in this paper. Successful results are obtained by applying this new method on field data measured by a UHF coupler. The feasibility of this new approach is studied and proved by the statistical distributions of the trained weights. © 2004 IEEE.
Source Title: IEEE Transactions on Power Delivery
URI: http://scholarbank.nus.edu.sg/handle/10635/81967
ISSN: 08858977
DOI: 10.1109/TPWRD.2004.832398
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