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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/783

Title: Fault Classification and Ground detection using Support Vector Machine
Authors: Samantaray, S R
Dash, P K
Panda, G
Keywords: Fault detection
time-frequency analysis
Issue Date: 2005
Publisher: IEEE
Citation: Annual IEEE INDICON, 2005, 11-13 Dec. 2005 Chennai P 162 - 166
Abstract: A new approach for fault detection in power system network using time-frequency analysis is presented in this paper. The S-transform with complex window is used for generating frequency contours(S-contours), which distinguishes the faulted condition from no-fault. Here the fault current data for one cycle back and one cycle from the fault inception is processed through S-transform to generate time-frequency patterns with varying window. The generated time-frequency patterns clearly distinguishes the faulted condition from un-faulted.
Description: Copyright for the paper belongs to IEEE
URI: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1590146&isnumber=33509
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