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dc.contributor.authorDash, P K-
dc.contributor.authorSamantaray, S R-
dc.identifier.citationInternational Journal of Electrical Power & Energy Systemsen
dc.descriptionCopyright for this article belongs to elsevier. doi:10.1016/j.ijepes.2006.06.002en
dc.description.abstractThis paper presents a new approach for distance protection of transmission lines using time-frequency analysis. The proposed technique consists of preprocessing the fault current signal samples using hyperbolic S-transform to yield the change in energy and standard deviation at the appropriate window variation. From these two features, a decision of fault or no-fault on any phase or multiple phases of the transmission line can be made. The ground detection is done by a proposed indicator with a threshold value. The fault distance from the relaying point can be accurately estimated using cubic polynomial interpolation technique, Feed forward Neural Network and Adaptive Network Fuzzy Inference System (ANFIS).en
dc.format.extent1109006 bytes-
dc.subjectChange energyen
dc.subjectCubic interpolationen
dc.subjectDistance protectionen
dc.subjectNeural networken
dc.titleA novel distance protection scheme using time-frequency analysis and pattern recognition approachen
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