Prediction and identification of the magnetic field close to electric machines

Papadopoulos, PJ; Ioannides, MG

dc.contributor.author	Papadopoulos, PJ	en
dc.contributor.author	Ioannides, MG	en
dc.date.accessioned	2014-03-01T01:15:04Z
dc.date.available	2014-03-01T01:15:04Z
dc.date.issued	1999	en
dc.identifier.issn	0021-8979	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13319
dc.relation.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-4143118104&partnerID=40&md5=84416a2e39cc1305875de20a2655c1e5	en
dc.subject.classification	Physics, Applied	en
dc.title	Prediction and identification of the magnetic field close to electric machines	en
heal.type	journalArticle	en
heal.language	English	en
heal.publicationDate	1999	en
heal.abstract	The magnetic field around an electric machine operating at full load is predicted numerically and identified experimentally. A precise model of a three-phase induction machine is constructed considering the machine geometry, the windings and the stator and rotor materials. The field distribution close to the machine is determined using the discrete element technique, and actual measurements are carried out for identification purposes. An approximate human model is constructed and the magnetic field inside the human body is computed for a distance of 1 and 5 m from the machine. The magnetic field density is determined at specific points, and the induced current densities are computed. (C) 1999 American Institute of Physics. [S0021-8979(99)22808-3].	en
heal.publisher	AMER INST PHYSICS	en
heal.journalName	Journal of Applied Physics	en
dc.identifier.isi	ISI:000079853500145	en
dc.identifier.volume	85	en
dc.identifier.issue	8 II B	en
dc.identifier.spage	5720	en
dc.identifier.epage	5722	en