Induction Machine Fault Detection Enhancement Using a Stator Current High Resolution Spectrum
| hal.structure.identifier | ESE | |
| dc.contributor.author | EL BOUCHIKHI, El Houssin | |
| hal.structure.identifier | Laboratoire brestois de mécanique et des systèmes [LBMS] | |
| dc.contributor.author | CHOQUEUSE, Vincent | |
| hal.structure.identifier | Laboratoire brestois de mécanique et des systèmes [LBMS] | |
| dc.contributor.author | BENBOUZID, Mohamed | |
| hal.structure.identifier | Institut de Recherche de l'Ecole Navale [IRENAV] | |
| dc.contributor.author | CHARPENTIER, Jean-Frederic | |
| dc.date.accessioned | 2021-05-14T10:04:08Z | |
| dc.date.available | 2021-05-14T10:04:08Z | |
| dc.date.issued | 2012-12-20 | |
| dc.date.conference | 2012-10-25 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/78457 | |
| dc.description.abstractEn | Fault detection in squirrel cage induction machines based on stator current spectrum has been widely investigated. Several high resolution spectral estimation techniques have been developed and used to detect induction machine abnormal operating conditions. In this paper, a modified version of MUSIC algorithm has been developed based on the faults characteristic frequencies. This method has been used to estimate the stator current spectrum. Then, an amplitude estimator has been proposed and a fault indicator has been derived for fault severity measurement. Simulated stator current data issued from a coupled electromagnetic circuits approach has been used to prove the appropriateness of the method for air gap eccentricity and broken rotor bars faults detection. | |
| dc.language.iso | en | |
| dc.source.title | IECON | |
| dc.subject.en | Induction machine | |
| dc.subject.en | fault detection | |
| dc.subject.en | power spectral density estimation | |
| dc.subject.en | signal processing | |
| dc.title.en | Induction Machine Fault Detection Enhancement Using a Stator Current High Resolution Spectrum | |
| dc.type | Communication dans un congrès avec actes | |
| dc.identifier.doi | 10.1109/IECON.2012.6389267 | |
| dc.subject.hal | Sciences de l'ingénieur [physics]/Traitement du signal et de l'image | |
| dc.subject.hal | Informatique [cs]/Traitement du signal et de l'image | |
| dc.subject.hal | Sciences de l'ingénieur [physics]/Energie électrique | |
| bordeaux.page | 3913 - 3918 | |
| bordeaux.hal.laboratories | Institut de Mécanique et d’Ingénierie de Bordeaux (I2M) - UMR 5295 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.institution | INRAE | |
| bordeaux.institution | Arts et Métiers | |
| bordeaux.country | CA | |
| bordeaux.title.proceeding | IECON 2012 | |
| bordeaux.conference.city | Montreal | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-00773049 | |
| hal.version | 1 | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-00773049v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=IECON&rft.date=2012-12-20&rft.spage=3913%20-%203918&rft.epage=3913%20-%203918&rft.au=EL%20BOUCHIKHI,%20El%20Houssin&CHOQUEUSE,%20Vincent&BENBOUZID,%20Mohamed&CHARPENTIER,%20Jean-Frederic&rft.genre=proceeding |
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