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

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contributor.authorSamantaray, S R-
contributor.authorDash, P K-
contributor.authorPanda, G-
date.accessioned2009-02-28T08:31:18Z-
date.available2009-02-28T08:31:18Z-
date.issued2005-
identifier.citationAnnual IEEE INDICON, 2005, 11-13 Dec. 2005 Chennai P 162 - 166en
identifier.urihttp://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=1590146&isnumber=33509-
identifier.urihttp://hdl.handle.net/2080/783-
descriptionCopyright for the paper belongs to IEEEen
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
format.extent1967264 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherIEEEen
subjectFault detectionen
subjectS-contoursen
subjecttime-frequency analysisen
titleFault Classification and Ground detection using Support Vector Machineen
typeArticleen
Appears in Collections:Conference Papers

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