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http://hdl.handle.net/2080/783
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Samantaray, S R | - |
dc.contributor.author | Dash, P K | - |
dc.contributor.author | Panda, G | - |
dc.date.accessioned | 2009-02-28T08:31:18Z | - |
dc.date.available | 2009-02-28T08:31:18Z | - |
dc.date.issued | 2005 | - |
dc.identifier.citation | Annual IEEE INDICON, 2005, 11-13 Dec. 2005 Chennai P 162 - 166 | en |
dc.identifier.uri | http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1590146&isnumber=33509 | - |
dc.identifier.uri | http://hdl.handle.net/2080/783 | - |
dc.description | Copyright for the paper belongs to IEEE | en |
dc.description.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. | en |
dc.format.extent | 1967264 bytes | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | IEEE | en |
dc.subject | Fault detection | en |
dc.subject | S-contours | en |
dc.subject | time-frequency analysis | en |
dc.title | Fault Classification and Ground detection using Support Vector Machine | en |
dc.type | Article | en |
Appears in Collections: | Conference Papers |
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