Power harmonics analysis for electrical device signature identification using the artificial neural network and support vector machine

Master's

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Bibliographic Details
Main Author: NG WIN SIAU
Other Authors: ELECTRICAL & COMPUTER ENGINEERING
Format: Theses and Dissertations
Language:English
Published: 2010
Subjects:
Online Access:http://scholarbank.nus.edu.sg/handle/10635/14452
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Institution: National University of Singapore
Language: English
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spelling sg-nus-scholar.10635-144522015-01-07T14:17:05Z 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
institution National University of Singapore
building NUS Library
country Singapore
collection ScholarBank@NUS
language English
topic Power harmonics, artificial neural network, support vector machine, genetic algorithm, signature identification, multi class
spellingShingle 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
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