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Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/65

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contributor.authorDash, P K-
contributor.authorMishra, S-
contributor.authorSalama, M M A-
contributor.authorLiew, A C-
identifier.citationIEEE Transactions on Power Delivery, Vol 15, Iss 2 P 472-477en
descriptionPersonal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en
description.abstractThis paper presents a hybrid scheme using a Fourier linear combiner and a fuzzy expert system for the classification of transient disturbance waveforms in a power system. The captured voltage or current waveforms are passed through a Fourier linear combiner block to provide normalized peak amplitude and phase at every sampling instant. The normalized peak amplitude and computed slope of the waveforms are then passed on to a diagnostic module that computes the truth value of the signal combination and determines the class to which the waveform belongs. Several numerical tests have been conducted using EMTP programs to validate the disturbance waveform classification with the help of the new hybrid approach which is much simpler than the recently postulated ANN or wavelet based approachesen
format.extent175644 bytes-
subjectFourier analysisen
subjectfuzzy systemsen
subjectpower system faultsen
titleClassification of power system disturbances using a fuzzy expert system and a Fourier linear combineren
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