DSpace@nitr >
National Institue of Technology- Rourkela >
Journal Articles >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2080/84

Full metadata record

DC FieldValueLanguage
contributor.authorDash, P K-
contributor.authorJena, R K-
contributor.authorSalama, M M A-
date.accessioned2005-06-30T06:00:42Z-
date.available2005-06-30T06:00:42Z-
date.issued1999-10-
identifier.citationInternational Journal of Electrical Power & Energy Systems, Vol 21, Iss 7, P 497-506en
identifier.urihttp://hdl.handle.net/2080/84-
descriptionCopyright of this article belongs to Elsevier Science Ltden
description.abstractThe paper presents a new approach for the classification of transient disturbance waveforms in a power system by using a Fourier linear combiner and a fuzzy expert system. The measured voltage or current waveforms at a distribution bus are passed through a Fourier linear combiner block to provide peak or root mean square (RMS) amplitude and phase of the fundamental component at every sampling instant. The peak or RMS 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. Computer simulated tests are carried out using programs to obtain the disturbance waveform classification with the help of a new hybrid approach which is much simpler than the recently postulated neural network and wavelet based techniques. The classification is found to be robust and yields accurate results in most cases with the least amount of computational burden.en
format.extent518844 bytes-
format.mimetypeapplication/pdf-
language.isoen-
publisherElsevieren
subjectFourier linear combineren
subjectFuzzy expert systemen
subjectDisturbance waveformen
titlePower quality monitoring using an integrated Fourier linear combiner and fuzzy expert systemen
typeArticleen
Appears in Collections:Journal Articles

Files in This Item:

File Description SizeFormat
pkd19991.pdf506KbAdobe PDFView/Open

Show simple item record

All items in DSpace are protected by copyright, with all rights reserved.

 

Powered by DSpace Feedback