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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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