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Titre: Induction motor inter-turn fault modeling and simulation using SSFR test for diagnosis purpose
Auteur(s): Mabrek, Abdelhakim
Hemsas, Kamel E
Mots-clés: Diagnosis
Induction motor
identification
Standstill
Spectrum
Short-turns
Parameter
Date de publication: 29-jui-2018
Collection/Numéro: Automatika;
DOI UDK 10.7305/automatika.2017.10.1805 681.518.54:621.313.333;ATKAFF 57(4), 948–959(2016)
Journal for Control, Measurement, Electronics, Computing and Communications Volume 57, 2016 - Issue 4;
Résumé: This paper presents a new idea to establish a simplified model of the short-circuit turns (SCT), in the stator winding of the squirrel-cage induction motor (IM) using standstill frequency response test (SSFR). This method may offer more precision in parameters estimation independent of variations in motor or load operating conditions since it is at standstill test. However, high-performance field-oriented control, or diagnosis purpose of the IM requires accurate knowledge of the electrical parameters. Furthermore, we propose to model the IM by a multiple cage equivalent circuit (EC) that enables us to take into account the deep bar effect with accuracy. The specific advantage of the proposed method that we can create a true SCT at several levels using fault simulator in order to estimate the EC model parameters in each case of fault severity, with a low probability of risk to the machine being tested, and a relatively modest expense. At the first time the healthy machine is identified and experimentally validated, then the models have been successfully used to study the transient and steady-state behavior of the IM with SCT fault, which a practically oriented scientific value.
URI/URL: http://dspace.univ-setif.dz:8888/jspui/handle/123456789/2504
ISSN: Online ISSN 1848-3380
Print ISSN 0005-1144
Collection(s) :Articles

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