Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/784
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dc.contributor.authorPanigrahi, B K-
dc.contributor.authorSamantaray, S R-
dc.contributor.authorDash, P K-
dc.contributor.authorPanda, G-
dc.date.accessioned2009-02-28T08:40:33Z-
dc.date.available2009-02-28T08:40:33Z-
dc.date.issued2006-
dc.identifier.citationInternational Conference on Power Electronics, Drives and Energy Systems, 2006. PEDES '06.en
dc.identifier.urihttp://dx.doi.org/10.1109/PEDES.2006.344318-
dc.identifier.urihttp://hdl.handle.net/2080/784-
dc.descriptionCopyright for the article belongs to IEEEen
dc.description.abstractThis paper presents a new approach to distinguish between inrush current and internal faults of power transformer using pattern recognition approach. The HS-transform (Hyperbolic S-transform) is used to extract patterns of inrush current and internal faults from the captured transformer current. HS-transform is a very powerful tool for non-stationary signal analysis giving the information of transient currents both in time and frequency domain. The spectral energy and standard deviation are calculated to distinguish between inrush current and internal fault. Classification of internal faults and inrush current is done through Fuzzy C-means clustering.en
dc.format.extent4698780 bytes-
dc.format.mimetypeapplication/pdf-
dc.language.isoen-
dc.publisherIEEEen
dc.subjectfault currentsen
dc.subjectfuzzy logicen
dc.subjectpattern clusteringen
dc.subjectpower transformersen
dc.subjecttime-frequency analysis transformsen
dc.titleDiscrimination between Inrush current and Internal Faults using Pattern Recognition Approachen
dc.typeArticleen
Appears in Collections:Conference Papers

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