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Detection and Classification of Single and Combined Power Quality Disturbances Using Neural Networks

contributor authorValtierra-Rodriguez, M.
contributor authorde Jesus Romero-Troncoso, Rene
contributor authorOsornio-Rios, R.A.
contributor authorGarcia-Perez, A.
date accessioned2020-03-12T18:24:52Z
date available2020-03-12T18:24:52Z
date issued2014
identifier issn0278-0046
identifier other6553247.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/957693?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleDetection and Classification of Single and Combined Power Quality Disturbances Using Neural Networks
typeJournal Paper
contenttypeMetadata Only
identifier padid7990011
subject keywordsfeedforward neural nets
subject keywordsharmonic distortion
subject keywordsleast mean squares methods
subject keywordspattern classification
subject keywordspower engineering computing
subject keywordspower supply quality
subject keywordsadaptive linear network
subject keywordscombined PQ disturbances
subject keywordsdual neural-network-based methodology
subject keywordsfeedforward neural network
subject keywordsflicker classification
subject keywordsharmonics-interharmonics classification
subject keywordsharmonics-interharmonics detection
subject keywordshorizontal histograms
subject keywordsinterharmonic estimation
subject keywordsnotching classification
subject keywordsoscillatory transients classification
subject keywordsoutages classificat
identifier doi10.1109/TIE.2013.2272276
journal titleIndustrial Electronics, IEEE Transactions on
journal volume61
journal issue5
filesize1957917
citations0


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