Design optimization of permanent magnet synchronous motors using response surface analysis and genetic algorithm
Master's
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sg-nus-scholar.10635-153292015-02-02T22:29:41Z Design optimization of permanent magnet synchronous motors using response surface analysis and genetic algorithm JOLLY LAURENT ELECTRICAL & COMPUTER ENGINEERING JABBAR, MOHAMMED ABDUL electric motors design, response surface method Master's MASTER OF ENGINEERING 2010-04-08T10:52:24Z 2010-04-08T10:52:24Z 2006-04-17 Thesis JOLLY LAURENT (2006-04-17). Design optimization of permanent magnet synchronous motors using response surface analysis and genetic algorithm. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/15329 NOT_IN_WOS en |
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National University of Singapore |
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Singapore |
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ScholarBank@NUS |
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English |
topic |
electric motors design, response surface method |
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electric motors design, response surface method JOLLY LAURENT Design optimization of permanent magnet synchronous motors using response surface analysis and genetic algorithm |
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Master's |
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ELECTRICAL & COMPUTER ENGINEERING |
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ELECTRICAL & COMPUTER ENGINEERING JOLLY LAURENT |
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Theses and Dissertations |
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JOLLY LAURENT |
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JOLLY LAURENT |
title |
Design optimization of permanent magnet synchronous motors using response surface analysis and genetic algorithm |
title_short |
Design optimization of permanent magnet synchronous motors using response surface analysis and genetic algorithm |
title_full |
Design optimization of permanent magnet synchronous motors using response surface analysis and genetic algorithm |
title_fullStr |
Design optimization of permanent magnet synchronous motors using response surface analysis and genetic algorithm |
title_full_unstemmed |
Design optimization of permanent magnet synchronous motors using response surface analysis and genetic algorithm |
title_sort |
design optimization of permanent magnet synchronous motors using response surface analysis and genetic algorithm |
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2010 |
url |
http://scholarbank.nus.edu.sg/handle/10635/15329 |
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1681079176538357760 |