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Analysis of UHF signal using prediction model

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6 Author(s)
Chang, C. ; Nat. Univ. of Singapore, Singapore ; Chang, C.S. ; Jin, J. ; Hoshino, T.
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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.

Published in:

Power Delivery, IEEE Transactions on  (Volume:19 ,  Issue: 4 )

Date of Publication:

Oct. 2004

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