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contributor authorChang, G.W.
contributor authorMin-Fu Shih
contributor authorYi-Ying Chen
contributor authorYi-Jie Liang
date accessioned2020-03-12T18:37:21Z
date available2020-03-12T18:37:21Z
date issued2014
identifier issn0885-8977
identifier other6690260.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/964657?locale-attribute=en&show=full
formatgeneral
languageEnglish
publisherIEEE
titleA Hybrid Wavelet Transform and Neural-Network-Based Approach for Modelling Dynamic Voltage-Current Characteristics of Electric Arc Furnace
typeJournal Paper
contenttypeMetadata Only
identifier padid7998205
subject keywordsarc furnaces
subject keywordscompensation
subject keywordsdiscrete wavelet transforms
subject keywordselectric current measurement
subject keywordslearning (artificial intelligence)
subject keywordspower supply quality
subject keywordspower system harmonics
subject keywordspower system measurement
subject keywordspower system simulation
subject keywordsradial basis function networks
subject keywordstable lookup
subject keywordsvoltage measurement
subject keywordsDWT
subject keywordsEAF current measurement
subject keywordsEAF voltage measurement
subject keywordsMatlab-Simulink simulation
subject keywordscompensation device
subject keywordsdiscrete wavelet transform
subject keywordsdynamic voltage-current characteristics
subject keywordselectric arc furnace
subject keywordsenhanced lookup ta
identifier doi10.1109/TPWRD.2013.2280397
journal titlePower Delivery, IEEE Transactions on
journal volume29
journal issue2
filesize1673720
citations0


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