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dc.contributor.authorSamantaray, S R-
dc.contributor.authorDash, P K-
dc.contributor.authorPanda, G-
dc.identifier.citationAnnual IEEE INDICON, 2005, 11-13 Dec. 2005 Chennai P 162 - 166en
dc.descriptionCopyright for the paper belongs to IEEEen
dc.description.abstractA 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.extent1967264 bytes-
dc.subjectFault detectionen
dc.subjecttime-frequency analysisen
dc.titleFault Classification and Ground detection using Support Vector Machineen
Appears in Collections:Conference Papers

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