An on-line neurofuzzy approach for detecting faults in induction motors

10.1109/IEMDC.2001.939423

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Bibliographic Details
Main Authors:	Tan, W.W., Huo, H.
Other Authors:	ELECTRICAL ENGINEERING
Format:	Conference or Workshop Item
Published:	2014
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/69354
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-69354
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spelling	sg-nus-scholar.10635-693542015-01-10T19:09:00Z An on-line neurofuzzy approach for detecting faults in induction motors Tan, W.W. Huo, H. ELECTRICAL ENGINEERING ELECTRICAL & COMPUTER ENGINEERING 10.1109/IEMDC.2001.939423 IEMDC 2001 - IEEE International Electric Machines and Drives Conference 878-883 2014-06-19T02:59:42Z 2014-06-19T02:59:42Z 2001 Conference Paper Tan, W.W.,Huo, H. (2001). An on-line neurofuzzy approach for detecting faults in induction motors. IEMDC 2001 - IEEE International Electric Machines and Drives Conference : 878-883. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/IEMDC.2001.939423" target="_blank">https://doi.org/10.1109/IEMDC.2001.939423</a> 0780370910 http://scholarbank.nus.edu.sg/handle/10635/69354 NOT_IN_WOS Scopus
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
description	10.1109/IEMDC.2001.939423
author2	ELECTRICAL ENGINEERING
author_facet	ELECTRICAL ENGINEERING Tan, W.W. Huo, H.
format	Conference or Workshop Item
author	Tan, W.W. Huo, H.
spellingShingle	Tan, W.W. Huo, H. An on-line neurofuzzy approach for detecting faults in induction motors
author_sort	Tan, W.W.
title	An on-line neurofuzzy approach for detecting faults in induction motors
title_short	An on-line neurofuzzy approach for detecting faults in induction motors
title_full	An on-line neurofuzzy approach for detecting faults in induction motors
title_fullStr	An on-line neurofuzzy approach for detecting faults in induction motors
title_full_unstemmed	An on-line neurofuzzy approach for detecting faults in induction motors
title_sort	on-line neurofuzzy approach for detecting faults in induction motors
publishDate	2014
url	http://scholarbank.nus.edu.sg/handle/10635/69354
_version_	1681086998389981184

An on-line neurofuzzy approach for detecting faults in induction motors

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