Generalized two axes model of a squirrel-cage induction motor for rotor fault diagnosis
A generalized two axes model of a squirrel-cage induction motor is developed This model is based on a winding function approach and the coupled magnetic circuit theory and takes into account the stator and the rotor asymmetries due to faults. This paper presents a computer simulation and experimenta...
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Faculty of Technical Sciences in Cacak
2008-01-01
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Online Access: | http://www.doiserbia.nb.rs/img/doi/1451-4869/2008/1451-48690801155S.pdf |
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doaj-e812e8e712254fcd8bf97870298e6c5e2020-11-24T21:32:08ZengFaculty of Technical Sciences in CacakSerbian Journal of Electrical Engineering1451-48692217-71832008-01-015115517010.2298/SJEE0801155S1451-48690801155SGeneralized two axes model of a squirrel-cage induction motor for rotor fault diagnosisSamir Hamdani0Omar Touhami1Rachid Ibtiouen2USTHB, faculté d`électronique et informatique, Alger, AlgerieResearch Laboratory of Electrotechnics, Algiers, AlgeriaResearch Laboratory of Electrotechnics, Algiers, AlgeriaA generalized two axes model of a squirrel-cage induction motor is developed This model is based on a winding function approach and the coupled magnetic circuit theory and takes into account the stator and the rotor asymmetries due to faults. This paper presents a computer simulation and experimental dynamic characteristics for a healthy induction machine, machine with one broken bar and a machine with two broken bars. The results illustrate good agreement between both simulated and experimental results. Also, the power spectral density PSD was performed to obtain a stator current spectrum.http://www.doiserbia.nb.rs/img/doi/1451-4869/2008/1451-48690801155S.pdfinduction machinediagnosispower spectral density |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Samir Hamdani Omar Touhami Rachid Ibtiouen |
spellingShingle |
Samir Hamdani Omar Touhami Rachid Ibtiouen Generalized two axes model of a squirrel-cage induction motor for rotor fault diagnosis Serbian Journal of Electrical Engineering induction machine diagnosis power spectral density |
author_facet |
Samir Hamdani Omar Touhami Rachid Ibtiouen |
author_sort |
Samir Hamdani |
title |
Generalized two axes model of a squirrel-cage induction motor for rotor fault diagnosis |
title_short |
Generalized two axes model of a squirrel-cage induction motor for rotor fault diagnosis |
title_full |
Generalized two axes model of a squirrel-cage induction motor for rotor fault diagnosis |
title_fullStr |
Generalized two axes model of a squirrel-cage induction motor for rotor fault diagnosis |
title_full_unstemmed |
Generalized two axes model of a squirrel-cage induction motor for rotor fault diagnosis |
title_sort |
generalized two axes model of a squirrel-cage induction motor for rotor fault diagnosis |
publisher |
Faculty of Technical Sciences in Cacak |
series |
Serbian Journal of Electrical Engineering |
issn |
1451-4869 2217-7183 |
publishDate |
2008-01-01 |
description |
A generalized two axes model of a squirrel-cage induction motor is developed This model is based on a winding function approach and the coupled magnetic circuit theory and takes into account the stator and the rotor asymmetries due to faults. This paper presents a computer simulation and experimental dynamic characteristics for a healthy induction machine, machine with one broken bar and a machine with two broken bars. The results illustrate good agreement between both simulated and experimental results. Also, the power spectral density PSD was performed to obtain a stator current spectrum. |
topic |
induction machine diagnosis power spectral density |
url |
http://www.doiserbia.nb.rs/img/doi/1451-4869/2008/1451-48690801155S.pdf |
work_keys_str_mv |
AT samirhamdani generalizedtwoaxesmodelofasquirrelcageinductionmotorforrotorfaultdiagnosis AT omartouhami generalizedtwoaxesmodelofasquirrelcageinductionmotorforrotorfaultdiagnosis AT rachidibtiouen generalizedtwoaxesmodelofasquirrelcageinductionmotorforrotorfaultdiagnosis |
_version_ |
1725958524493627392 |