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|Title:||Analysis of UHF signal using prediction model|
|Authors:||Chang, C. |
|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|
|Appears in Collections:||Staff Publications|
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