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Density Classification in Asynchronous Random Networks with Faulty Nodes

contributor authorGogolev, A. , Marcenaro, L.
date accessioned2020-03-12T19:38:39Z
date available2020-03-12T19:38:39Z
date issued2014
identifier other6787284.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/984689?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleDensity Classification in Asynchronous Random Networks with Faulty Nodes
typeConference Paper
contenttypeMetadata Only
identifier padid8100185
subject keywordsapproximation theory
subject keywordscontrol engineering computing
subject keywordsfault location
subject keywordsoptimisation
subject keywordspower engineering computing
subject keywordssensor placement
subject keywordssubstation automation
subject keywordscost-effective solution
subject keywordsfault isolation process
subject keywordsfault location
subject keywordsfault measurements
subject keywordsfault restoration process
subject keywordsfaulted segment identification
subject keywordsfeeder sensor placement
subject keywordsfrequency current magnitudes
subject keywordsintelligent electronic device
subject keywordslimited IED data
subject keywordsminimum data requirements
subject keywordsmultiphase feeder head
subject keywordsmultiphase feeder sequence model
subject keywordssingle phase
identifier doi10.1109/PESGM.2014.6939908
journal titlearallel, Distributed and Network-Based Processing (PDP), 2014 22nd Euromicro International Conferenc
filesize271017
citations0


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