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Experimental study on power frequency short-circuit failure of MOV

Author:
Ren, Xiaoming
,
Wang, Biyun
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/IWECA.2014.6845686
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1069977
Keyword(s): neural nets,n physics computing,n regression analysis,n specific heat,n ANN model,n Dulong-Petit law,n GRNN model,n NeuralTools software,n artificial neural network model,n general regression neural network model,n general regression neural networks,n metal elementary substances,n natural science laws,n qualitative proof approach,n specific heat capacity,n Artificial neural networks,n Atomic measurements,n Heat engines,n Dulong-Petit law
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    Experimental study on power frequency short-circuit failure of MOV

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contributor authorRen, Xiaoming
contributor authorWang, Biyun
date accessioned2020-03-12T22:03:40Z
date available2020-03-12T22:03:40Z
date issued2014
identifier other6973396.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1069977
formatgeneral
languageEnglish
publisherIEEE
titleExperimental study on power frequency short-circuit failure of MOV
typeConference Paper
contenttypeMetadata Only
identifier padid8205348
subject keywordsneural nets
subject keywordsn physics computing
subject keywordsn regression analysis
subject keywordsn specific heat
subject keywordsn ANN model
subject keywordsn Dulong-Petit law
subject keywordsn GRNN model
subject keywordsn NeuralTools software
subject keywordsn artificial neural network model
subject keywordsn general regression neural network model
subject keywordsn general regression neural networks
subject keywordsn metal elementary substances
subject keywordsn natural science laws
subject keywordsn qualitative proof approach
subject keywordsn specific heat capacity
subject keywordsn Artificial neural networks
subject keywordsn Atomic measurements
subject keywordsn Heat engines
subject keywordsn Dulong-Petit law
identifier doi10.1109/IWECA.2014.6845686
journal titleightning Protection (ICLP), 2014 International Conference o
filesize326223
citations0
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