Power harmonics analysis for electrical device signature identification using the artificial neural network and support vector machine
Master's
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2010
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sg-nus-scholar.10635-144522024-10-26T09:39:43Z Power harmonics analysis for electrical device signature identification using the artificial neural network and support vector machine NG WIN SIAU ELECTRICAL & COMPUTER ENGINEERING SRINIVASAN, DIPTI LIEW AH CHOY Power harmonics, artificial neural network, support vector machine, genetic algorithm, signature identification, multi class Master's MASTER OF ENGINEERING 2010-04-08T10:43:20Z 2010-04-08T10:43:20Z 2005-01-23 Thesis NG WIN SIAU (2005-01-23). Power harmonics analysis for electrical device signature identification using the artificial neural network and support vector machine. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/14452 NOT_IN_WOS en |
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National University of Singapore |
building |
NUS Library |
continent |
Asia |
country |
Singapore Singapore |
content_provider |
NUS Library |
collection |
ScholarBank@NUS |
language |
English |
topic |
Power harmonics, artificial neural network, support vector machine, genetic algorithm, signature identification, multi class |
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Power harmonics, artificial neural network, support vector machine, genetic algorithm, signature identification, multi class NG WIN SIAU Power harmonics analysis for electrical device signature identification using the artificial neural network and support vector machine |
description |
Master's |
author2 |
ELECTRICAL & COMPUTER ENGINEERING |
author_facet |
ELECTRICAL & COMPUTER ENGINEERING NG WIN SIAU |
format |
Theses and Dissertations |
author |
NG WIN SIAU |
author_sort |
NG WIN SIAU |
title |
Power harmonics analysis for electrical device signature identification using the artificial neural network and support vector machine |
title_short |
Power harmonics analysis for electrical device signature identification using the artificial neural network and support vector machine |
title_full |
Power harmonics analysis for electrical device signature identification using the artificial neural network and support vector machine |
title_fullStr |
Power harmonics analysis for electrical device signature identification using the artificial neural network and support vector machine |
title_full_unstemmed |
Power harmonics analysis for electrical device signature identification using the artificial neural network and support vector machine |
title_sort |
power harmonics analysis for electrical device signature identification using the artificial neural network and support vector machine |
publishDate |
2010 |
url |
http://scholarbank.nus.edu.sg/handle/10635/14452 |
_version_ |
1821225272999936000 |