Detection of Inter-Turn Stator Faults in Induction Motors Using Short-Term Averaging of Forward and Backward Rotating Stator Current Phasors for Fast Prognostics

Dorrell, DG; Makhoba, K

Detection of Inter-Turn Stator Faults in Induction Motors Using Short-Term Averaging of Forward and Backward Rotating Stator Current Phasors for Fast Prognostics

Dorrell, DG

Makhoba, K

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Magnetics, 2017, 53 (11)
Issue Date:: 2017-11-01

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Field	Value	Language
dc.contributor.author	Dorrell, DG https://orcid.org/0000-0001-8060-3386	en_US
dc.contributor.author	Makhoba, K	en_US
dc.date.issued	2017-11-01	en_US
dc.identifier.citation	IEEE Transactions on Magnetics, 2017, 53 (11)	en_US
dc.identifier.issn	0018-9464	en_US
dc.identifier.uri	http://hdl.handle.net/10453/126670
dc.description.abstract	© 2017 IEEE. Stator-related failures in induction machines are often encountered in industrial applications due to the unforeseen insulation damage. This paper addresses the fast prognosis of inter-turn faults. It presents simulation and measurement of the stator winding short circuit faults of a three-phase induction motor. A 50 Hz four-pole 2 hp induction motor was operated under healthy and faulty conditions and the increase in backward sequence current component assessed. It was found that the negative sequence component is a powerful component for the detection of inter-turn faults and simple algorithms allow it to be monitored and faults detected.	en_US
dc.relation.ispartof	IEEE Transactions on Magnetics	en_US
dc.relation.isbasedon	10.1109/TMAG.2017.2710181	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Applied Physics	en_US
dc.title	Detection of Inter-Turn Stator Faults in Induction Motors Using Short-Term Averaging of Forward and Backward Rotating Stator Current Phasors for Fast Prognostics	en_US
dc.type	Journal Article
utslib.citation.volume	11	en_US
utslib.citation.volume	53	en_US
utslib.for	0202 Atomic, Molecular, Nuclear, Particle and Plasma Physics	en_US
utslib.for	0904 Chemical Engineering	en_US
utslib.for	02 Physical Sciences	en_US
utslib.for	09 Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.issue	11	en_US
pubs.publication-status	Published	en_US
pubs.volume	53	en_US

Abstract:

© 2017 IEEE. Stator-related failures in induction machines are often encountered in industrial applications due to the unforeseen insulation damage. This paper addresses the fast prognosis of inter-turn faults. It presents simulation and measurement of the stator winding short circuit faults of a three-phase induction motor. A 50 Hz four-pole 2 hp induction motor was operated under healthy and faulty conditions and the increase in backward sequence current component assessed. It was found that the negative sequence component is a powerful component for the detection of inter-turn faults and simple algorithms allow it to be monitored and faults detected.

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http://hdl.handle.net/10453/126670